-
+
@@ -30,349 +30,349 @@
|
@@ -30,349 +30,349 @@
|
|This repo includes ChatGPT prompt curation to use ChatGPT better.|
+| 10|[AUTOMATIC1111/stable-diffusion-webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui) |Stable Diffusion web UI|
+| 11|[huggingface/transformers](https://github.com/huggingface/transformers) |🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.|
+| 12|[f/awesome-chatgpt-prompts](https://github.com/f/awesome-chatgpt-prompts)  |This repo includes ChatGPT prompt curation to use ChatGPT better.|
| 13|[justjavac/free-programming-books-zh_CN](https://github.com/justjavac/free-programming-books-zh_CN) |📚 免费的计算机编程类中文书籍，欢迎投稿|
-| 14|[krahets/hello-algo](https://github.com/krahets/hello-algo) |《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing|
-| 15|[ollama/ollama](https://github.com/ollama/ollama) |Get up and running with Llama 2, Mistral, Gemma, and other large language models.|
-| 16|[goldbergyoni/nodebestpractices](https://github.com/goldbergyoni/nodebestpractices) |✅ The Node.js best practices list (July 2024)|
-| 17|[langchain-ai/langchain](https://github.com/langchain-ai/langchain) |⚡ Building applications with LLMs through composability ⚡|
-| 18|[yt-dlp/yt-dlp](https://github.com/yt-dlp/yt-dlp) |A feature-rich command-line audio/video downloader|
-| 19|[puppeteer/puppeteer](https://github.com/puppeteer/puppeteer) |JavaScript API for Chrome and Firefox|
-| 20|[mtdvio/every-programmer-should-know](https://github.com/mtdvio/every-programmer-should-know) |A collection of (mostly) technical things every software developer should know about|
+| 14|[krahets/hello-algo](https://github.com/krahets/hello-algo) |《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing|
+| 15|[ollama/ollama](https://github.com/ollama/ollama) |Get up and running with Llama 2, Mistral, Gemma, and other large language models.|
+| 16|[goldbergyoni/nodebestpractices](https://github.com/goldbergyoni/nodebestpractices) |✅ The Node.js best practices list (July 2024)|
+| 17|[langchain-ai/langchain](https://github.com/langchain-ai/langchain) |⚡ Building applications with LLMs through composability ⚡|
+| 18|[yt-dlp/yt-dlp](https://github.com/yt-dlp/yt-dlp) |A feature-rich command-line audio/video downloader|
+| 19|[puppeteer/puppeteer](https://github.com/puppeteer/puppeteer) |JavaScript API for Chrome and Firefox|
+| 20|[mtdvio/every-programmer-should-know](https://github.com/mtdvio/every-programmer-should-know) |A collection of (mostly) technical things every software developer should know about|
| 21|[pytorch/pytorch](https://github.com/pytorch/pytorch) |Tensors and Dynamic neural networks in Python with strong GPU acceleration|
-| 22|[neovim/neovim](https://github.com/neovim/neovim) |Vim-fork focused on extensibility and usability|
-| 23|[ChatGPTNextWeb/ChatGPT-Next-Web](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web) |A cross-platform ChatGPT/Gemini UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT/Gemini 应用。|
-| 24|[tensorflow/models](https://github.com/tensorflow/models) |Models and examples built with TensorFlow|
-| 25|[supabase/supabase](https://github.com/supabase/supabase) |The open source Firebase alternative.|
-| 26|[home-assistant/core](https://github.com/home-assistant/core) |🏡 Open source home automation that puts local control and privacy first.|
-| 27|[openai/whisper](https://github.com/openai/whisper) |Robust Speech Recognition via Large-Scale Weak Supervision|
-| 28|[3b1b/manim](https://github.com/3b1b/manim) |Animation engine for explanatory math videos|
+| 22|[neovim/neovim](https://github.com/neovim/neovim) |Vim-fork focused on extensibility and usability|
+| 23|[ChatGPTNextWeb/ChatGPT-Next-Web](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web) |A cross-platform ChatGPT/Gemini UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT/Gemini 应用。|
+| 24|[tensorflow/models](https://github.com/tensorflow/models) |Models and examples built with TensorFlow|
+| 25|[supabase/supabase](https://github.com/supabase/supabase) |The open source Firebase alternative.|
+|⭐ 26|[home-assistant/core](https://github.com/home-assistant/core) |🏡 Open source home automation that puts local control and privacy first.|
+| 27|[openai/whisper](https://github.com/openai/whisper) |Robust Speech Recognition via Large-Scale Weak Supervision|
+| 28|[3b1b/manim](https://github.com/3b1b/manim) |Animation engine for explanatory math videos|
| 29|[nomic-ai/gpt4all](https://github.com/nomic-ai/gpt4all)  |gpt4all: an ecosystem of open-source chatbots trained on a massive collection of clean assistant data including code, stories and dialogue|
| 30|[elastic/elasticsearch](https://github.com/elastic/elasticsearch) |Free and Open, Distributed, RESTful Search Engine|
-| 31|[fighting41love/funNLP](https://github.com/fighting41love/funNLP) |The Most Powerful NLP-Weapon Arsenal|
-| 32| [ggerganov/llama.cpp](https://github.com/ggerganov/llama.cpp)  | Port of Facebook's LLaMA model in C/C++ |
-| 33|[bregman-arie/devops-exercises](https://github.com/bregman-arie/devops-exercises) |Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions|
+| 31|[fighting41love/funNLP](https://github.com/fighting41love/funNLP) |The Most Powerful NLP-Weapon Arsenal|
+| 32| [ggerganov/llama.cpp](https://github.com/ggerganov/llama.cpp)  | Port of Facebook's LLaMA model in C/C++ |
+| 33|[bregman-arie/devops-exercises](https://github.com/bregman-arie/devops-exercises) |Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions|
| 34|[binary-husky/gpt_academic](https://github.com/binary-husky/gpt_academic) |Academic Optimization of GPT|
-| 35|[josephmisiti/awesome-machine-learning](https://github.com/josephmisiti/awesome-machine-learning) |A curated list of awesome Machine Learning frameworks, libraries and software.|
-| 36|[abi/screenshot-to-code](https://github.com/abi/screenshot-to-code) |Drop in a screenshot and convert it to clean HTML/Tailwind/JS code|
+| 35|[josephmisiti/awesome-machine-learning](https://github.com/josephmisiti/awesome-machine-learning) |A curated list of awesome Machine Learning frameworks, libraries and software.|
+| 36|[abi/screenshot-to-code](https://github.com/abi/screenshot-to-code) |Drop in a screenshot and convert it to clean HTML/Tailwind/JS code|
| 37|[hoppscotch/hoppscotch](https://github.com/hoppscotch/hoppscotch) |Open source API development ecosystem - https://hoppscotch.io (open-source alternative to Postman, Insomnia)|
-| 38|[microsoft/generative-ai-for-beginners](https://github.com/microsoft/generative-ai-for-beginners) |12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/|
+| 38|[microsoft/generative-ai-for-beginners](https://github.com/microsoft/generative-ai-for-beginners) |12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/|
| 39|[grafana/grafana](https://github.com/grafana/grafana) |The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.|
| 40|[d2l-ai/d2l-zh](https://github.com/d2l-ai/d2l-zh) |Targeting Chinese readers, functional and open for discussion. The Chinese and English versions are used for teaching in over 400 universities across more than 60 countries|
-| 41|[python/cpython](https://github.com/python/cpython) |The Python programming language|
-| 42|[apache/superset](https://github.com/apache/superset) |Apache Superset is a Data Visualization and Data Exploration Platform|
+| 41|[python/cpython](https://github.com/python/cpython) |The Python programming language|
+| 42|[apache/superset](https://github.com/apache/superset) |Apache Superset is a Data Visualization and Data Exploration Platform|
| 43|[xtekky/gpt4free](https://github.com/xtekky/gpt4free)  |decentralizing the Ai Industry, free gpt-4/3.5 scripts through several reverse engineered API's ( poe.com, phind.com, chat.openai.com etc...)|
-| 44|[twitter/the-algorithm](https://github.com/twitter/the-algorithm)  |Source code for Twitter's Recommendation Algorithm|
-| 45|[comfyanonymous/ComfyUI](https://github.com/comfyanonymous/ComfyUI) |The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.|
+| 44|[twitter/the-algorithm](https://github.com/twitter/the-algorithm)  |Source code for Twitter's Recommendation Algorithm|
+| 45|[comfyanonymous/ComfyUI](https://github.com/comfyanonymous/ComfyUI) |The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.|
| 46|[keras-team/keras](https://github.com/keras-team/keras) |Deep Learning for humans|
-| 47|[sherlock-project/sherlock](https://github.com/sherlock-project/sherlock) |Hunt down social media accounts by username across social networks|
-| 48|[openai/openai-cookbook](https://github.com/openai/openai-cookbook)  |Examples and guides for using the OpenAI API|
+| 47|[sherlock-project/sherlock](https://github.com/sherlock-project/sherlock) |Hunt down social media accounts by username across social networks|
+| 48|[openai/openai-cookbook](https://github.com/openai/openai-cookbook)  |Examples and guides for using the OpenAI API|
| 49|[scikit-learn/scikit-learn](https://github.com/scikit-learn/scikit-learn) |scikit-learn: machine learning in Python|
-| 50|[binhnguyennus/awesome-scalability](https://github.com/binhnguyennus/awesome-scalability) |The Patterns of Scalable, Reliable, and Performant Large-Scale Systems|
-| 51|[AppFlowy-IO/AppFlowy](https://github.com/AppFlowy-IO/AppFlowy) |Bring projects, wikis, and teams together with AI. AppFlowy is an AI collaborative workspace where you achieve more without losing control of your data. The best open source alternative to Notion.|
-| 52|[OpenInterpreter/open-interpreter](https://github.com/OpenInterpreter/open-interpreter) |A natural language interface for computers|
-| 53|[labmlai/annotated_deep_learning_paper_implementations](https://github.com/labmlai/annotated_deep_learning_paper_implementations) |🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠|
-| 54|[langgenius/dify](https://github.com/langgenius/dify)  |One API for plugins and datasets, one interface for prompt engineering and visual operation, all for creating powerful AI applications.|
-| 55|[meta-llama/llama](https://github.com/meta-llama/llama) |Inference code for Llama models|
-| 56|[immich-app/immich](https://github.com/immich-app/immich) |High performance self-hosted photo and video management solution.|
+| 50|[binhnguyennus/awesome-scalability](https://github.com/binhnguyennus/awesome-scalability) |The Patterns of Scalable, Reliable, and Performant Large-Scale Systems|
+| 51|[AppFlowy-IO/AppFlowy](https://github.com/AppFlowy-IO/AppFlowy) |Bring projects, wikis, and teams together with AI. AppFlowy is an AI collaborative workspace where you achieve more without losing control of your data. The best open source alternative to Notion.|
+| 52|[OpenInterpreter/open-interpreter](https://github.com/OpenInterpreter/open-interpreter) |A natural language interface for computers|
+| 53|[labmlai/annotated_deep_learning_paper_implementations](https://github.com/labmlai/annotated_deep_learning_paper_implementations) |🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠|
+| 54|[langgenius/dify](https://github.com/langgenius/dify)  |One API for plugins and datasets, one interface for prompt engineering and visual operation, all for creating powerful AI applications.|
+| 55|[meta-llama/llama](https://github.com/meta-llama/llama) |Inference code for Llama models|
+| 56|[immich-app/immich](https://github.com/immich-app/immich) |High performance self-hosted photo and video management solution.|
| 57|[nuxt/nuxt](https://github.com/nuxt/nuxt) |The Intuitive Vue Framework.|
-| 58|[open-webui/open-webui](https://github.com/open-webui/open-webui) |User-friendly WebUI for LLMs (Formerly Ollama WebUI)|
-| 59|[imartinez/privateGPT](https://github.com/imartinez/privateGPT) |Interact with your documents using the power of GPT, 100% privately, no data leaks|
-| 60|[ageitgey/face_recognition](https://github.com/ageitgey/face_recognition) |The world's simplest facial recognition api for Python and the command line|
-| 61|[n8n-io/n8n](https://github.com/n8n-io/n8n) |Free and source-available fair-code licensed workflow automation tool. Easily automate tasks across different services.|
-| 62|[PlexPt/awesome-chatgpt-prompts-zh](https://github.com/PlexPt/awesome-chatgpt-prompts-zh) |ChatGPT Chinese Training Guide. Guidelines for various scenarios. Learn how to make it listen to you|
+| 58|[open-webui/open-webui](https://github.com/open-webui/open-webui) |User-friendly WebUI for LLMs (Formerly Ollama WebUI)|
+| 59|[imartinez/privateGPT](https://github.com/imartinez/privateGPT) |Interact with your documents using the power of GPT, 100% privately, no data leaks|
+| 60|[ageitgey/face_recognition](https://github.com/ageitgey/face_recognition) |The world's simplest facial recognition api for Python and the command line|
+| 61|[n8n-io/n8n](https://github.com/n8n-io/n8n) |Free and source-available fair-code licensed workflow automation tool. Easily automate tasks across different services.|
+| 62|[PlexPt/awesome-chatgpt-prompts-zh](https://github.com/PlexPt/awesome-chatgpt-prompts-zh) |ChatGPT Chinese Training Guide. Guidelines for various scenarios. Learn how to make it listen to you|
| 63|[lencx/ChatGPT](https://github.com/lencx/ChatGPT) |🔮 ChatGPT Desktop Application (Mac, Windows and Linux)|
-| 64|[CorentinJ/Real-Time-Voice-Cloning](https://github.com/CorentinJ/Real-Time-Voice-Cloning) |Clone a voice in 5 seconds to generate arbitrary speech in real-time|
+| 64|[CorentinJ/Real-Time-Voice-Cloning](https://github.com/CorentinJ/Real-Time-Voice-Cloning) |Clone a voice in 5 seconds to generate arbitrary speech in real-time|
| 65|[deepfakes/faceswap](https://github.com/deepfakes/faceswap) |Deepfakes Software For All|
-| 66|[gpt-engineer-org/gpt-engineer](https://github.com/gpt-engineer-org/gpt-engineer) |Specify what you want it to build, the AI asks for clarification, and then builds it.|
-| 67|[dair-ai/Prompt-Engineering-Guide](https://github.com/dair-ai/Prompt-Engineering-Guide)  |🐙 Guides, papers, lecture, notebooks and resources for prompt engineering|
-| 68|[commaai/openpilot](https://github.com/commaai/openpilot) |openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 275+ supported cars.|
-| 69|[lobehub/lobe-chat](https://github.com/lobehub/lobe-chat) |🤖 Lobe Chat - an open-source, extensible (Function Calling), high-performance chatbot framework. It supports one-click free deployment of your private ChatGPT/LLM web application.|
-| 70|[xai-org/grok-1](https://github.com/xai-org/grok-1) |Grok open release|
-| 71|[jgthms/bulma](https://github.com/jgthms/bulma) |Modern CSS framework based on Flexbox|
+| 66|[gpt-engineer-org/gpt-engineer](https://github.com/gpt-engineer-org/gpt-engineer) |Specify what you want it to build, the AI asks for clarification, and then builds it.|
+| 67|[dair-ai/Prompt-Engineering-Guide](https://github.com/dair-ai/Prompt-Engineering-Guide)  |🐙 Guides, papers, lecture, notebooks and resources for prompt engineering|
+| 68|[commaai/openpilot](https://github.com/commaai/openpilot) |openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 275+ supported cars.|
+| 69|[lobehub/lobe-chat](https://github.com/lobehub/lobe-chat) |🤖 Lobe Chat - an open-source, extensible (Function Calling), high-performance chatbot framework. It supports one-click free deployment of your private ChatGPT/LLM web application.|
+| 70|[xai-org/grok-1](https://github.com/xai-org/grok-1) |Grok open release|
+| 71|[jgthms/bulma](https://github.com/jgthms/bulma) |Modern CSS framework based on Flexbox|
| 72|[meilisearch/meilisearch](https://github.com/meilisearch/meilisearch) |A lightning-fast search API that fits effortlessly into your apps, websites, and workflow|
-| 73|[Stirling-Tools/Stirling-PDF](https://github.com/Stirling-Tools/Stirling-PDF) |#1 Locally hosted web application that allows you to perform various operations on PDF files|
-| 74|[facebookresearch/segment-anything](https://github.com/facebookresearch/segment-anything) |The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.|
-| 75|[geekan/MetaGPT](https://github.com/geekan/MetaGPT) |The Multi-Agent Meta Programming Framework: Given one line Requirement, return PRD, Design, Tasks, Repo |
-| 76|[Avik-Jain/100-Days-Of-ML-Code](https://github.com/Avik-Jain/100-Days-Of-ML-Code) |100 Days of ML Coding|
-| 77|[v2ray/v2ray-core](https://github.com/v2ray/v2ray-core) |A platform for building proxies to bypass network restrictions.|
-| 78|[PaddlePaddle/PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR) |Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)|
-| 79|[alist-org/alist](https://github.com/alist-org/alist) |🗂️A file list/WebDAV program that supports multiple storages, powered by Gin and Solidjs. / 一个支持多存储的文件列表/WebDAV程序，使用 Gin 和 Solidjs。|
-| 80|[type-challenges/type-challenges](https://github.com/type-challenges/type-challenges) |Collection of TypeScript type challenges with online judge|
-| 81|[clash-verge-rev/clash-verge-rev](https://github.com/clash-verge-rev/clash-verge-rev) |Continuation of Clash Verge - A Clash Meta GUI based on Tauri (Windows, MacOS, Linux)|
-| 82|[Asabeneh/30-Days-Of-Python](https://github.com/Asabeneh/30-Days-Of-Python) |30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw|
-| 83|[lllyasviel/Fooocus](https://github.com/lllyasviel/Fooocus) |Focus on prompting and generating|
+| 73|[Stirling-Tools/Stirling-PDF](https://github.com/Stirling-Tools/Stirling-PDF) |#1 Locally hosted web application that allows you to perform various operations on PDF files|
+| 74|[facebookresearch/segment-anything](https://github.com/facebookresearch/segment-anything) |The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.|
+| 75|[geekan/MetaGPT](https://github.com/geekan/MetaGPT) |The Multi-Agent Meta Programming Framework: Given one line Requirement, return PRD, Design, Tasks, Repo |
+| 76|[Avik-Jain/100-Days-Of-ML-Code](https://github.com/Avik-Jain/100-Days-Of-ML-Code) |100 Days of ML Coding|
+| 77|[v2ray/v2ray-core](https://github.com/v2ray/v2ray-core) |A platform for building proxies to bypass network restrictions.|
+| 78|[PaddlePaddle/PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR) |Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)|
+| 79|[alist-org/alist](https://github.com/alist-org/alist) |🗂️A file list/WebDAV program that supports multiple storages, powered by Gin and Solidjs. / 一个支持多存储的文件列表/WebDAV程序，使用 Gin 和 Solidjs。|
+| 80|[clash-verge-rev/clash-verge-rev](https://github.com/clash-verge-rev/clash-verge-rev) |Continuation of Clash Verge - A Clash Meta GUI based on Tauri (Windows, MacOS, Linux)|
+| 81|[type-challenges/type-challenges](https://github.com/type-challenges/type-challenges) |Collection of TypeScript type challenges with online judge|
+| 82|[Asabeneh/30-Days-Of-Python](https://github.com/Asabeneh/30-Days-Of-Python) |30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw|
+| 83|[lllyasviel/Fooocus](https://github.com/lllyasviel/Fooocus) |Focus on prompting and generating|
| 84|[hacksider/Deep-Live-Cam](https://github.com/hacksider/Deep-Live-Cam) |real time face swap and one-click video deepfake with only a single image (uncensored)|
-| 85|[langflow-ai/langflow](https://github.com/langflow-ai/langflow) |Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.|
-| 86|[oobabooga/text-generation-webui](https://github.com/oobabooga/text-generation-webui)  |A gradio web UI for running Large Language Models like LLaMA, llama.cpp, GPT-J, OPT, and GALACTICA.|
+| 85|[langflow-ai/langflow](https://github.com/langflow-ai/langflow) |Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.|
+| 86|[oobabooga/text-generation-webui](https://github.com/oobabooga/text-generation-webui)  |A gradio web UI for running Large Language Models like LLaMA, llama.cpp, GPT-J, OPT, and GALACTICA.|
| 87|[jeecgboot/JeecgBoot](https://github.com/jeecgboot/JeecgBoot) |🔥「企业级低代码平台」前后端分离架构SpringBoot 2.x/3.x，SpringCloud，Ant Design&Vue3，Mybatis，Shiro，JWT。强大的代码生成器让前后端代码一键生成，无需写任何代码! 引领新的开发模式OnlineCoding->代码生成->手工MERGE，帮助Java项目解决70%重复工作，让开发更关注业务，既能快速提高效率，帮助公司节省成本，同时又不失灵活性。|
-| 88|[THUDM/ChatGLM-6B](https://github.com/THUDM/ChatGLM-6B)  |ChatGLM-6B: An Open Bilingual Dialogue Language Model|
-| 89|[mlabonne/llm-course](https://github.com/mlabonne/llm-course) |Course with a roadmap and notebooks to get into Large Language Models (LLMs).|
-| 90|[dani-garcia/vaultwarden](https://github.com/dani-garcia/vaultwarden) |Unofficial Bitwarden compatible server written in Rust, formerly known as bitwarden_rs|
-| 91|[All-Hands-AI/OpenHands](https://github.com/All-Hands-AI/OpenHands) |🙌 OpenHands: Code Less, Make More|
-| 92|[mingrammer/diagrams](https://github.com/mingrammer/diagrams) |🎨 Diagram as Code for prototyping cloud system architectures|
+| 88|[THUDM/ChatGLM-6B](https://github.com/THUDM/ChatGLM-6B)  |ChatGLM-6B: An Open Bilingual Dialogue Language Model|
+| 89|[mlabonne/llm-course](https://github.com/mlabonne/llm-course) |Course with a roadmap and notebooks to get into Large Language Models (LLMs).|
+| 90|[dani-garcia/vaultwarden](https://github.com/dani-garcia/vaultwarden) |Unofficial Bitwarden compatible server written in Rust, formerly known as bitwarden_rs|
+|⭐ 91|[All-Hands-AI/OpenHands](https://github.com/All-Hands-AI/OpenHands) |🙌 OpenHands: Code Less, Make More|
+| 92|[mingrammer/diagrams](https://github.com/mingrammer/diagrams) |🎨 Diagram as Code for prototyping cloud system architectures|
| 93|[fastlane/fastlane](https://github.com/fastlane/fastlane) |🚀 The easiest way to automate building and releasing your iOS and Android apps|
-| 94|[Stability-AI/stablediffusion](https://github.com/Stability-AI/stablediffusion) |High-Resolution Image Synthesis with Latent Diffusion Models|
+| 94|[Stability-AI/stablediffusion](https://github.com/Stability-AI/stablediffusion) |High-Resolution Image Synthesis with Latent Diffusion Models|
| 95|[getsentry/sentry](https://github.com/getsentry/sentry) |Developer-first error tracking and performance monitoring|
| 96|[psf/black](https://github.com/psf/black) |The uncompromising Python code formatter|
| 97|[hpcaitech/ColossalAI](https://github.com/hpcaitech/ColossalAI) |Making large AI models cheaper, faster and more accessible|
-| 98| [karpathy/nanoGPT](https://github.com/karpathy/nanoGPT)  |The simplest, fastest repository for training/finetuning medium-sized GPTs|
-| 99|[RVC-Boss/GPT-SoVITS](https://github.com/RVC-Boss/GPT-SoVITS) |1 min voice data can also be used to train a good TTS model! (few shot voice cloning)|
-| 100|[apache/airflow](https://github.com/apache/airflow) |Apache Airflow - A platform to programmatically author, schedule, and monitor workflows|
-| 101|[2dust/v2rayNG](https://github.com/2dust/v2rayNG) |A V2Ray client for Android, support Xray core and v2fly core|
-| 102|[lm-sys/FastChat](https://github.com/lm-sys/FastChat)  |An open platform for training, serving, and evaluating large languages. Release repo for Vicuna and FastChat-T5.|
+| 98| [karpathy/nanoGPT](https://github.com/karpathy/nanoGPT)  |The simplest, fastest repository for training/finetuning medium-sized GPTs|
+| 99|[RVC-Boss/GPT-SoVITS](https://github.com/RVC-Boss/GPT-SoVITS) |1 min voice data can also be used to train a good TTS model! (few shot voice cloning)|
+| 100|[apache/airflow](https://github.com/apache/airflow) |Apache Airflow - A platform to programmatically author, schedule, and monitor workflows|
+| 101|[2dust/v2rayNG](https://github.com/2dust/v2rayNG) |A V2Ray client for Android, support Xray core and v2fly core|
+| 102|[lm-sys/FastChat](https://github.com/lm-sys/FastChat)  |An open platform for training, serving, and evaluating large languages. Release repo for Vicuna and FastChat-T5.|
| 103|[hiyouga/LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory) |Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)|
-| 104|[rasbt/LLMs-from-scratch](https://github.com/rasbt/LLMs-from-scratch) |Implementing a ChatGPT-like LLM from scratch, step by step|
-| 105|[LAION-AI/Open-Assistant](https://github.com/LAION-AI/Open-Assistant)  
|OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.|
+| 104|[rasbt/LLMs-from-scratch](https://github.com/rasbt/LLMs-from-scratch) |Implementing a ChatGPT-like LLM from scratch, step by step|
+| 105|[LAION-AI/Open-Assistant](https://github.com/LAION-AI/Open-Assistant)  |OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.|
| 106|[QuivrHQ/quivr](https://github.com/QuivrHQ/quivr) |Your GenAI Second Brain 🧠 A personal productivity assistant (RAG) ⚡️🤖 Chat with your docs (PDF, CSV, ...) & apps using Langchain, GPT 3.5 / 4 turbo, Private, Anthropic, VertexAI, Ollama, LLMs, that you can share with users ! Local & Private alternative to OpenAI GPTs & ChatGPT powered by retrieval-augmented generation.|
-| 107|[NaiboWang/EasySpider](https://github.com/NaiboWang/EasySpider) |A visual no-code/code-free web crawler/spider易采集：一个可视化浏览器自动化测试/数据采集/爬虫软件，可以无代码图形化的设计和执行爬虫任务。别名：ServiceWrapper面向Web应用的智能化服务封装系统。|
+| 107|[NaiboWang/EasySpider](https://github.com/NaiboWang/EasySpider) |A visual no-code/code-free web crawler/spider易采集：一个可视化浏览器自动化测试/数据采集/爬虫软件，可以无代码图形化的设计和执行爬虫任务。别名：ServiceWrapper面向Web应用的智能化服务封装系统。|
| 108|[microsoft/autogen](https://github.com/microsoft/autogen) |Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ|
-| 109|[ggerganov/whisper.cpp](https://github.com/ggerganov/whisper.cpp) |Port of OpenAI's Whisper model in C/C++|
+| 109|[ggerganov/whisper.cpp](https://github.com/ggerganov/whisper.cpp) |Port of OpenAI's Whisper model in C/C++|
| 110|[suno-ai/bark](https://github.com/suno-ai/bark)  |🔊 Text-Prompted Generative Audio Model|
-| 111|[coqui-ai/TTS](https://github.com/coqui-ai/TTS)  |🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production|
-| 112|[streamlit/streamlit](https://github.com/streamlit/streamlit) |Streamlit — A faster way to build and share data apps.|
-| 113|[typst/typst](https://github.com/typst/typst) |A new markup-based typesetting system that is powerful and easy to learn.|
+| 111|[coqui-ai/TTS](https://github.com/coqui-ai/TTS)  |🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production|
+| 112|[streamlit/streamlit](https://github.com/streamlit/streamlit) |Streamlit — A faster way to build and share data apps.|
+| 113|[typst/typst](https://github.com/typst/typst) |A new markup-based typesetting system that is powerful and easy to learn.|
| 114|[TencentARC/GFPGAN](https://github.com/TencentARC/GFPGAN)  |GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.|
-| 115|[microsoft/DeepSpeed](https://github.com/microsoft/DeepSpeed)  |A deep learning optimization library that makes distributed training and inference easy, efficient, and effective|
-| 116|[LC044/WeChatMsg](https://github.com/LC044/WeChatMsg) |提取微信聊天记录，将其导出成HTML、Word、Excel文档永久保存，对聊天记录进行分析生成年度聊天报告，用聊天数据训练专属于个人的AI聊天助手|
+| 115|[microsoft/DeepSpeed](https://github.com/microsoft/DeepSpeed)  |A deep learning optimization library that makes distributed training and inference easy, efficient, and effective|
+| 116|[LC044/WeChatMsg](https://github.com/LC044/WeChatMsg) |提取微信聊天记录，将其导出成HTML、Word、Excel文档永久保存，对聊天记录进行分析生成年度聊天报告，用聊天数据训练专属于个人的AI聊天助手|
| 117|[XingangPan/DragGAN](https://github.com/XingangPan/DragGAN)  
|Code for DragGAN (SIGGRAPH 2023)|
-| 118|[SimplifyJobs/Summer2025-Internships](https://github.com/SimplifyJobs/Summer2025-Internships) |Collection of Summer 2025 tech internships!|
+| 118|[SimplifyJobs/Summer2025-Internships](https://github.com/SimplifyJobs/Summer2025-Internships) |Collection of Summer 2025 tech internships!|
| 119|[babysor/MockingBird](https://github.com/babysor/MockingBird) |🚀AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time|
| 120|[freeCodeCamp/devdocs](https://github.com/freeCodeCamp/devdocs) |API Documentation Browser|
-| 121|[gradio-app/gradio](https://github.com/gradio-app/gradio) |Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!|
-| 122|[ultralytics/ultralytics](https://github.com/ultralytics/ultralytics) |NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite|
+| 121|[gradio-app/gradio](https://github.com/gradio-app/gradio) |Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!|
+| 122|[ultralytics/ultralytics](https://github.com/ultralytics/ultralytics) |NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite|
| 123|[lapce/lapce](https://github.com/lapce/lapce) |Lightning-fast and Powerful Code Editor written in Rust|
-| 124|[OpenBB-finance/OpenBBTerminal](https://github.com/OpenBB-finance/OpenBBTerminal)  |Investment Research for Everyone, Anywhere.|
-| 125|[ray-project/ray](https://github.com/ray-project/ray) |Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.|
+| 124|[OpenBB-finance/OpenBBTerminal](https://github.com/OpenBB-finance/OpenBBTerminal)  |Investment Research for Everyone, Anywhere.|
+| 125|[ray-project/ray](https://github.com/ray-project/ray) |Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.|
| 126|[google-research/google-research](https://github.com/google-research/google-research)  |Google Research|
| 127| [microsoft/TaskMatrix](https://github.com/microsoft/TaskMatrix)  | Talking, Drawing and Editing with Visual Foundation Models|
| 128|[penpot/penpot](https://github.com/penpot/penpot) |Penpot: The open-source design tool for design and code collaboration|
-| 129|[karanpratapsingh/system-design](https://github.com/karanpratapsingh/system-design) |Learn how to design systems at scale and prepare for system design interviews|
-| 130|[freqtrade/freqtrade](https://github.com/freqtrade/freqtrade)  |Free, open source crypto trading bot|
-| 131|[2noise/ChatTTS](https://github.com/2noise/ChatTTS) |ChatTTS is a generative speech model for daily dialogue.|
-| 132|[KRTirtho/spotube](https://github.com/KRTirtho/spotube) |🎧 Open source Spotify client that doesn't require Premium nor uses Electron! Available for both desktop & mobile!|
-| 133|[FlowiseAI/Flowise](https://github.com/FlowiseAI/Flowise)  |Drag & drop UI to build your customized LLM flow using LangchainJS|
+| 129|[karanpratapsingh/system-design](https://github.com/karanpratapsingh/system-design) |Learn how to design systems at scale and prepare for system design interviews|
+|⭐ 130|[freqtrade/freqtrade](https://github.com/freqtrade/freqtrade)  |Free, open source crypto trading bot|
+| 131|[2noise/ChatTTS](https://github.com/2noise/ChatTTS) |ChatTTS is a generative speech model for daily dialogue.|
+| 132|[KRTirtho/spotube](https://github.com/KRTirtho/spotube) |🎧 Open source Spotify client that doesn't require Premium nor uses Electron! Available for both desktop & mobile!|
+| 133|[FlowiseAI/Flowise](https://github.com/FlowiseAI/Flowise)  |Drag & drop UI to build your customized LLM flow using LangchainJS|
| 134|[vllm-project/vllm](https://github.com/vllm-project/vllm) |A high-throughput and memory-efficient inference and serving engine for LLMs|
-| 135|[upscayl/upscayl](https://github.com/upscayl/upscayl) |🆙 Upscayl - Free and Open Source AI Image Upscaler for Linux, MacOS and Windows built with Linux-First philosophy.|
+| 135|[upscayl/upscayl](https://github.com/upscayl/upscayl) |🆙 Upscayl - Free and Open Source AI Image Upscaler for Linux, MacOS and Windows built with Linux-First philosophy.|
| 136|[chatchat-space/Langchain-Chatchat](https://github.com/chatchat-space/Langchain-Chatchat) |Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM) QA app with langchain|
-| 137|[zhayujie/chatgpt-on-wechat](https://github.com/zhayujie/chatgpt-on-wechat)  |Wechat robot based on ChatGPT, which uses OpenAI api and itchat library|
+| 137|[zhayujie/chatgpt-on-wechat](https://github.com/zhayujie/chatgpt-on-wechat)  |Wechat robot based on ChatGPT, which uses OpenAI api and itchat library|
| 138|[Pythagora-io/gpt-pilot](https://github.com/Pythagora-io/gpt-pilot) |PoC for a scalable dev tool that writes entire apps from scratch while the developer oversees the implementation|
| 139|[Chanzhaoyu/chatgpt-web](https://github.com/Chanzhaoyu/chatgpt-web)  |A demonstration website built with Express and Vue3 called ChatGPT|
| 140|[milvus-io/milvus](https://github.com/milvus-io/milvus)  |A cloud-native vector database, storage for next generation AI applications|
| 141|[hashicorp/vault](https://github.com/hashicorp/vault) |A tool for secrets management, encryption as a service, and privileged access management|
-| 142|[pola-rs/polars](https://github.com/pola-rs/polars) |Fast multi-threaded, hybrid-out-of-core query engine focussing on DataFrame front-ends|
-| 143|[lllyasviel/ControlNet](https://github.com/lllyasviel/ControlNet)  |Let us control diffusion models!|
-| 144|[TheAlgorithms/C-Plus-Plus](https://github.com/TheAlgorithms/C-Plus-Plus) |Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.|
+| 142|[pola-rs/polars](https://github.com/pola-rs/polars) |Fast multi-threaded, hybrid-out-of-core query engine focussing on DataFrame front-ends|
+| 143|[lllyasviel/ControlNet](https://github.com/lllyasviel/ControlNet)  |Let us control diffusion models!|
+| 144|[TheAlgorithms/C-Plus-Plus](https://github.com/TheAlgorithms/C-Plus-Plus) |Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.|
| 145|[facebookresearch/detectron2](https://github.com/facebookresearch/detectron2) |Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.|
-| 146|[google/jax](https://github.com/google/jax) |Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more|
+| 146|[google/jax](https://github.com/google/jax) |Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more|
| 147|[facebookresearch/fairseq](https://github.com/facebookresearch/fairseq)  |Facebook AI Research Sequence-to-Sequence Toolkit written in Python.|
| 148|[alibaba/nacos](https://github.com/alibaba/nacos) |an easy-to-use dynamic service discovery, configuration and service management platform for building cloud native applications.|
-| 149|[yunjey/pytorch-tutorial](https://github.com/yunjey/pytorch-tutorial) |PyTorch Tutorial for Deep Learning Researchers|
+| 149|[yunjey/pytorch-tutorial](https://github.com/yunjey/pytorch-tutorial) |PyTorch Tutorial for Deep Learning Researchers|
| 150|[myshell-ai/OpenVoice](https://github.com/myshell-ai/OpenVoice) |Instant voice cloning by MyShell|
-| 151|[v2fly/v2ray-core](https://github.com/v2fly/v2ray-core) |A platform for building proxies to bypass network restrictions.|
-| 152|[Mintplex-Labs/anything-llm](https://github.com/Mintplex-Labs/anything-llm) |A full-stack application that turns any documents into an intelligent chatbot with a sleek UI and easier way to manage your workspaces.|
+| 151|[v2fly/v2ray-core](https://github.com/v2fly/v2ray-core) |A platform for building proxies to bypass network restrictions.|
+| 152|[Mintplex-Labs/anything-llm](https://github.com/Mintplex-Labs/anything-llm) |A full-stack application that turns any documents into an intelligent chatbot with a sleek UI and easier way to manage your workspaces.|
| 153|[tatsu-lab/stanford_alpaca](https://github.com/tatsu-lab/stanford_alpaca)  |Code and documentation to train Stanford's Alpaca models, and generate the data.|
-| 154|[mckaywrigley/chatbot-ui](https://github.com/mckaywrigley/chatbot-ui) |The open-source AI chat interface for everyone.|
+| 154|[mckaywrigley/chatbot-ui](https://github.com/mckaywrigley/chatbot-ui) |The open-source AI chat interface for everyone.|
| 155|[JushBJJ/Mr.-Ranedeer-AI-Tutor](https://github.com/JushBJJ/Mr.-Ranedeer-AI-Tutor)  |A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.|
-| 156|[xinntao/Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN)  |Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.|
+| 156|[xinntao/Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN)  |Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.|
| 157|[linexjlin/GPTs](https://github.com/linexjlin/GPTs) |leaked prompts of GPTs|
-| 158|[s0md3v/roop](https://github.com/s0md3v/roop)  |one-click deepfake (face swap)|
+| 158|[s0md3v/roop](https://github.com/s0md3v/roop)  |one-click deepfake (face swap)|
| 159|[Lightning-AI/pytorch-lightning](https://github.com/Lightning-AI/pytorch-lightning) |Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.|
-| 160|[shardeum/shardeum](https://github.com/shardeum/shardeum) |Shardeum is an EVM based autoscaling blockchain|
+| 160|[shardeum/shardeum](https://github.com/shardeum/shardeum) |Shardeum is an EVM based autoscaling blockchain|
| 161|[facebook/folly](https://github.com/facebook/folly) |An open-source C++ library developed and used at Facebook.|
-| 162|[hiroi-sora/Umi-OCR](https://github.com/hiroi-sora/Umi-OCR) |OCR图片转文字识别软件，完全离线。截屏/批量导入图片，支持多国语言、合并段落、竖排文字。可排除水印区域，提取干净的文本。基于 PaddleOCR 。|
-| 163|[google-ai-edge/mediapipe](https://github.com/google-ai-edge/mediapipe) |Cross-platform, customizable ML solutions for live and streaming media.|
-| 164| [acheong08/ChatGPT](https://github.com/acheong08/ChatGPT)  | Reverse engineered ChatGPT API |
+| 162|[hiroi-sora/Umi-OCR](https://github.com/hiroi-sora/Umi-OCR) |OCR图片转文字识别软件，完全离线。截屏/批量导入图片，支持多国语言、合并段落、竖排文字。可排除水印区域，提取干净的文本。基于 PaddleOCR 。|
+| 163|[google-ai-edge/mediapipe](https://github.com/google-ai-edge/mediapipe) |Cross-platform, customizable ML solutions for live and streaming media.|
+| 164| [acheong08/ChatGPT](https://github.com/acheong08/ChatGPT)  | Reverse engineered ChatGPT API |
| 165|[meta-llama/llama3](https://github.com/meta-llama/llama3) |The official Meta Llama 3 GitHub site|
-| 166|[google-research/tuning_playbook](https://github.com/google-research/tuning_playbook) |A playbook for systematically maximizing the performance of deep learning models.|
+| 166|[google-research/tuning_playbook](https://github.com/google-research/tuning_playbook) |A playbook for systematically maximizing the performance of deep learning models.|
| 167|[mli/paper-reading](https://github.com/mli/paper-reading) |Classic Deep Learning and In-Depth Reading of New Papers Paragraph by Paragraph|
-| 168|[mouredev/Hello-Python](https://github.com/mouredev/Hello-Python) |Curso para aprender el lenguaje de programación Python desde cero y para principiantes. 75 clases, 37 horas en vídeo, código, proyectos y grupo de chat. Fundamentos, frontend, backend, testing, IA...|
-| 169|[tokio-rs/tokio](https://github.com/tokio-rs/tokio) |A runtime for writing reliable asynchronous applications with Rust. Provides I/O, networking, scheduling, timers, ...|
-| 170|[mudler/LocalAI](https://github.com/mudler/LocalAI) |🤖 The free, Open Source OpenAI alternative. Self-hosted, community-driven and local-first. Drop-in replacement for OpenAI running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. It allows to generate Text, Audio, Video, Images. Also with voice cloning capabilities.|
+| 168|[mouredev/Hello-Python](https://github.com/mouredev/Hello-Python) |Curso para aprender el lenguaje de programación Python desde cero y para principiantes. 75 clases, 37 horas en vídeo, código, proyectos y grupo de chat. Fundamentos, frontend, backend, testing, IA...|
+| 169|[tokio-rs/tokio](https://github.com/tokio-rs/tokio) |A runtime for writing reliable asynchronous applications with Rust. Provides I/O, networking, scheduling, timers, ...|
+| 170|[mudler/LocalAI](https://github.com/mudler/LocalAI) |🤖 The free, Open Source OpenAI alternative. Self-hosted, community-driven and local-first. Drop-in replacement for OpenAI running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. It allows to generate Text, Audio, Video, Images. Also with voice cloning capabilities.|
| 171|[eugeneyan/applied-ml](https://github.com/eugeneyan/applied-ml) |📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.|
-| 172|[tinygrad/tinygrad](https://github.com/tinygrad/tinygrad) |You like pytorch? You like micrograd? You love tinygrad! ❤️|
-| 173|[HeyPuter/puter](https://github.com/HeyPuter/puter) |🌐 The Internet OS! Free, Open-Source, and Self-Hostable.|
+| 172|[tinygrad/tinygrad](https://github.com/tinygrad/tinygrad) |You like pytorch? You like micrograd? You love tinygrad! ❤️|
+| 173|[HeyPuter/puter](https://github.com/HeyPuter/puter) |🌐 The Internet OS! Free, Open-Source, and Self-Hostable.|
| 174|[iperov/DeepFaceLive](https://github.com/iperov/DeepFaceLive)  |Real-time face swap for PC streaming or video calls|
-| 175|[infiniflow/ragflow](https://github.com/infiniflow/ragflow) |RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.|
-| 176|[mindsdb/mindsdb](https://github.com/mindsdb/mindsdb) |The platform for customizing AI from enterprise data|
+| 175|[infiniflow/ragflow](https://github.com/infiniflow/ragflow) |RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.|
+| 176|[mindsdb/mindsdb](https://github.com/mindsdb/mindsdb) |The platform for customizing AI from enterprise data|
| 177|[huggingface/diffusers](https://github.com/huggingface/diffusers) |🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.|
-| 178|[openai/CLIP](https://github.com/openai/CLIP) |CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image|
-| 179| [getcursor/cursor](https://github.com/getcursor/cursor)  | An editor made for programming with AI|
+| 178|[openai/CLIP](https://github.com/openai/CLIP) |CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image|
+| 179| [getcursor/cursor](https://github.com/getcursor/cursor)  | An editor made for programming with AI|
| 180|[taichi-dev/taichi](https://github.com/taichi-dev/taichi) |Productive, portable, and performant GPU programming in Python.|
-| 181|[XTLS/Xray-core](https://github.com/XTLS/Xray-core) |Xray, Penetrates Everything. Also the best v2ray-core, with XTLS support. Fully compatible configuration.|
-| 182|[chatanywhere/GPT_API_free](https://github.com/chatanywhere/GPT_API_free) |Free ChatGPT API Key, Free ChatGPT API, supports GPT-4 API (free), ChatGPT offers a free domestic forwarding API that allows direct connections without the need for a proxy. It can be used in conjunction with software/plugins like ChatBox, significantly reducing interface usage costs. Enjoy unlimited and unrestricted chatting within China|
+| 181|[XTLS/Xray-core](https://github.com/XTLS/Xray-core) |Xray, Penetrates Everything. Also the best v2ray-core, with XTLS support. Fully compatible configuration.|
+| 182|[chatanywhere/GPT_API_free](https://github.com/chatanywhere/GPT_API_free) |Free ChatGPT API Key, Free ChatGPT API, supports GPT-4 API (free), ChatGPT offers a free domestic forwarding API that allows direct connections without the need for a proxy. It can be used in conjunction with software/plugins like ChatBox, significantly reducing interface usage costs. Enjoy unlimited and unrestricted chatting within China|
| 183|[danielmiessler/fabric](https://github.com/danielmiessler/fabric) |fabric is an open-source framework for augmenting humans using AI.|
-| 184|[svc-develop-team/so-vits-svc](https://github.com/svc-develop-team/so-vits-svc)  |SoftVC VITS Singing Voice Conversion|
-| 185|[DataTalksClub/data-engineering-zoomcamp](https://github.com/DataTalksClub/data-engineering-zoomcamp) |Free Data Engineering course!|
-| 186|[OpenBMB/ChatDev](https://github.com/OpenBMB/ChatDev) |Create Customized Software using Natural Language Idea (through Multi-Agent Collaboration)|
-| 187|[airbnb/lottie-ios](https://github.com/airbnb/lottie-ios) |An iOS library to natively render After Effects vector animations|
-| 188|[RVC-Project/Retrieval-based-Voice-Conversion-WebUI](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI) |Voice data <= 10 mins can also be used to train a good VC model!|
-| 189|[janhq/jan](https://github.com/janhq/jan) |Jan is an open source alternative to ChatGPT that runs 100% offline on your computer|
+| 184|[svc-develop-team/so-vits-svc](https://github.com/svc-develop-team/so-vits-svc)  |SoftVC VITS Singing Voice Conversion|
+| 185|[DataTalksClub/data-engineering-zoomcamp](https://github.com/DataTalksClub/data-engineering-zoomcamp) |Free Data Engineering course!|
+| 186|[OpenBMB/ChatDev](https://github.com/OpenBMB/ChatDev) |Create Customized Software using Natural Language Idea (through Multi-Agent Collaboration)|
+| 187|[airbnb/lottie-ios](https://github.com/airbnb/lottie-ios) |An iOS library to natively render After Effects vector animations|
+| 188|[RVC-Project/Retrieval-based-Voice-Conversion-WebUI](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI) |Voice data <= 10 mins can also be used to train a good VC model!|
+| 189|[janhq/jan](https://github.com/janhq/jan) |Jan is an open source alternative to ChatGPT that runs 100% offline on your computer|
| 190|[Vision-CAIR/MiniGPT-4](https://github.com/Vision-CAIR/MiniGPT-4)  |Enhancing Vision-language Understanding with Advanced Large Language Models|
-| 191|[academic/awesome-datascience](https://github.com/academic/awesome-datascience) |📝 An awesome Data Science repository to learn and apply for real world problems.|
+| 191|[academic/awesome-datascience](https://github.com/academic/awesome-datascience) |📝 An awesome Data Science repository to learn and apply for real world problems.|
| 192|[Stability-AI/generative-models](https://github.com/Stability-AI/generative-models) |Generative Models by Stability AI|
-| 193|[karpathy/llm.c](https://github.com/karpathy/llm.c) |LLM training in simple, raw C/CUDA|
+| 193|[karpathy/llm.c](https://github.com/karpathy/llm.c) |LLM training in simple, raw C/CUDA|
| 194|[gabime/spdlog](https://github.com/gabime/spdlog) |Fast C++ logging library.|
| 195|[roboflow/supervision](https://github.com/roboflow/supervision) |We write your reusable computer vision tools. 💜|
-| 196|[Bin-Huang/chatbox](https://github.com/Bin-Huang/chatbox)  |A desktop app for GPT-4 / GPT-3.5 (OpenAI API) that supports Windows, Mac & Linux|
-| 197|[apache/flink](https://github.com/apache/flink) |Apache Flink|
-| 198|[paul-gauthier/aider](https://github.com/paul-gauthier/aider) |aider is GPT powered coding in your terminal|
-| 199|[DataExpert-io/data-engineer-handbook](https://github.com/DataExpert-io/data-engineer-handbook) |This is a repo with links to everything you'd ever want to learn about data engineering|
+| 196|[Bin-Huang/chatbox](https://github.com/Bin-Huang/chatbox)  |A desktop app for GPT-4 / GPT-3.5 (OpenAI API) that supports Windows, Mac & Linux|
+| 197|[apache/flink](https://github.com/apache/flink) |Apache Flink|
+| 198|[paul-gauthier/aider](https://github.com/paul-gauthier/aider) |aider is GPT powered coding in your terminal|
+| 199|[DataExpert-io/data-engineer-handbook](https://github.com/DataExpert-io/data-engineer-handbook) |This is a repo with links to everything you'd ever want to learn about data engineering|
| 200|[nrwl/nx](https://github.com/nrwl/nx) |Smart Monorepos · Fast CI|
-| 201|[invoke-ai/InvokeAI](https://github.com/invoke-ai/InvokeAI) |InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.|
+| 201|[invoke-ai/InvokeAI](https://github.com/invoke-ai/InvokeAI) |InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.|
| 202| [yetone/openai-translator](https://github.com/yetone/openai-translator)  | Browser extension and cross-platform desktop application for translation based on ChatGPT API |
-| 203|[crewAIInc/crewAI](https://github.com/crewAIInc/crewAI) |Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.|
+| 203|[crewAIInc/crewAI](https://github.com/crewAIInc/crewAI) |Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.|
| 204|[deepinsight/insightface](https://github.com/deepinsight/insightface)  |State-of-the-art 2D and 3D Face Analysis Project|
| 205| [microsoft/JARVIS](https://github.com/microsoft/JARVIS)  | a system to connect LLMs with ML community |
-| 206|[openai/openai-python](https://github.com/openai/openai-python) |The OpenAI Python library provides convenient access to the OpenAI API from applications written in the Python language.|
-| 207|[stretchr/testify](https://github.com/stretchr/testify) |A toolkit with common assertions and mocks that plays nicely with the standard library|
+| 206|[openai/openai-python](https://github.com/openai/openai-python) |The OpenAI Python library provides convenient access to the OpenAI API from applications written in the Python language.|
+| 207|[stretchr/testify](https://github.com/stretchr/testify) |A toolkit with common assertions and mocks that plays nicely with the standard library|
| 208|[opentofu/opentofu](https://github.com/opentofu/opentofu) |OpenTofu lets you declaratively manage your cloud infrastructure.|
-| 209|[mem0ai/mem0](https://github.com/mem0ai/mem0) |The memory layer for Personalized AI|
+| 209|[mem0ai/mem0](https://github.com/mem0ai/mem0) |The memory layer for Personalized AI|
| 210|[rancher/rancher](https://github.com/rancher/rancher) |Complete container management platform|
| 211|[google/flatbuffers](https://github.com/google/flatbuffers) |FlatBuffers: Memory Efficient Serialization Library|
| 212|[modularml/mojo](https://github.com/modularml/mojo)  |The Mojo Programming Language|
-| 213|[bazelbuild/bazel](https://github.com/bazelbuild/bazel) |a fast, scalable, multi-language and extensible build system|
+| 213|[bazelbuild/bazel](https://github.com/bazelbuild/bazel) |a fast, scalable, multi-language and extensible build system|
| 214|[drawdb-io/drawdb](https://github.com/drawdb-io/drawdb) |Free, simple, and intuitive online database design tool and SQL generator.|
-| 215|[TheAlgorithms/Rust](https://github.com/TheAlgorithms/Rust) |All Algorithms implemented in Rust|
-| 216|[opendatalab/MinerU](https://github.com/opendatalab/MinerU) |A one-stop, open-source, high-quality data extraction tool, supports PDF/webpage/e-book extraction.一站式开源高质量数据提取工具，支持PDF/网页/多格式电子书提取。|
-| 217|[PostHog/posthog](https://github.com/PostHog/posthog) |🦔 PostHog provides open-source product analytics, session recording, feature flagging and A/B testing that you can self-host.|
+| 215|[TheAlgorithms/Rust](https://github.com/TheAlgorithms/Rust) |All Algorithms implemented in Rust|
+| 216|[opendatalab/MinerU](https://github.com/opendatalab/MinerU) |A one-stop, open-source, high-quality data extraction tool, supports PDF/webpage/e-book extraction.一站式开源高质量数据提取工具，支持PDF/网页/多格式电子书提取。|
+| 217|[PostHog/posthog](https://github.com/PostHog/posthog) |🦔 PostHog provides open-source product analytics, session recording, feature flagging and A/B testing that you can self-host.|
| 218|[openai/gpt-2](https://github.com/openai/gpt-2) |Code for the paper "Language Models are Unsupervised Multitask Learners"|
-| 219|[microsoft/semantic-kernel](https://github.com/microsoft/semantic-kernel) |Integrate cutting-edge LLM technology quickly and easily into your apps|
-| 220|[frappe/erpnext](https://github.com/frappe/erpnext) |Free and Open Source Enterprise Resource Planning (ERP)|
+| 219|[microsoft/semantic-kernel](https://github.com/microsoft/semantic-kernel) |Integrate cutting-edge LLM technology quickly and easily into your apps|
+| 220|[frappe/erpnext](https://github.com/frappe/erpnext) |Free and Open Source Enterprise Resource Planning (ERP)|
| 221|[TabbyML/tabby](https://github.com/TabbyML/tabby)  |Self-hosted AI coding assistant|
| 222|[PaddlePaddle/Paddle](https://github.com/PaddlePaddle/Paddle) |PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）|
-| 223|[zulip/zulip](https://github.com/zulip/zulip) |Zulip server and web application. Open-source team chat that helps teams stay productive and focused.|
+| 223|[zulip/zulip](https://github.com/zulip/zulip) |Zulip server and web application. Open-source team chat that helps teams stay productive and focused.|
| 224|[warpdotdev/Warp](https://github.com/warpdotdev/Warp) |Warp is a modern, Rust-based terminal with AI built in so you and your team can build great software, faster.|
-| 225|[Genesis-Embodied-AI/Genesis](https://github.com/Genesis-Embodied-AI/Genesis) |A generative world for general-purpose robotics & embodied AI learning.|
-| 226|[ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code](https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code) |500 AI Machine learning Deep learning Computer vision NLP Projects with code|
+| 225|[Genesis-Embodied-AI/Genesis](https://github.com/Genesis-Embodied-AI/Genesis) |A generative world for general-purpose robotics & embodied AI learning.|
+| 226|[ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code](https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code) |500 AI Machine learning Deep learning Computer vision NLP Projects with code|
| 227|[microsoft/graphrag](https://github.com/microsoft/graphrag) |A modular graph-based Retrieval-Augmented Generation (RAG) system|
| 228|[grpc/grpc-go](https://github.com/grpc/grpc-go) |The Go language implementation of gRPC. HTTP/2 based RPC|
| 229|[facebookresearch/audiocraft](https://github.com/facebookresearch/audiocraft) |Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.|
| 230|[qdrant/qdrant](https://github.com/qdrant/qdrant)  
|Qdrant - Vector Database for the next generation of AI applications. Also available in the cloud https://cloud.qdrant.io/|
-| 231|[mendableai/firecrawl](https://github.com/mendableai/firecrawl) |🔥 Turn entire websites into LLM-ready markdown|
-| 232|[Mozilla-Ocho/llamafile](https://github.com/Mozilla-Ocho/llamafile) |Distribute and run LLMs with a single file.|
+| 231|[mendableai/firecrawl](https://github.com/mendableai/firecrawl) |🔥 Turn entire websites into LLM-ready markdown|
+| 232|[Mozilla-Ocho/llamafile](https://github.com/Mozilla-Ocho/llamafile) |Distribute and run LLMs with a single file.|
| 233| [openai/chatgpt-retrieval-plugin](https://github.com/openai/chatgpt-retrieval-plugin)  | Plugins are chat extensions designed specifically for language models like ChatGPT, enabling them to access up-to-date information, run computations, or interact with third-party services in response to a user's request.|
-| 234|[haotian-liu/LLaVA](https://github.com/haotian-liu/LLaVA)  
|Large Language-and-Vision Assistant built towards multimodal GPT-4 level capabilities.|
-| 235|[continuedev/continue](https://github.com/continuedev/continue) |⏩ the open-source copilot chat for software development—bring the power of ChatGPT to VS Code|
-| 236|[yuliskov/SmartTube](https://github.com/yuliskov/SmartTube) |SmartTube - an advanced player for set-top boxes and tvs running Android OS|
+| 234|[haotian-liu/LLaVA](https://github.com/haotian-liu/LLaVA)  |Large Language-and-Vision Assistant built towards multimodal GPT-4 level capabilities.|
+| 235|[continuedev/continue](https://github.com/continuedev/continue) |⏩ the open-source copilot chat for software development—bring the power of ChatGPT to VS Code|
+| 236|[yuliskov/SmartTube](https://github.com/yuliskov/SmartTube) |SmartTube - an advanced player for set-top boxes and tvs running Android OS|
| 237|[karpathy/minGPT](https://github.com/karpathy/minGPT) |A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training|
| 238|[stanfordnlp/dspy](https://github.com/stanfordnlp/dspy) |Stanford DSPy: The framework for programming—not prompting—foundation models|
-| 239|[facefusion/facefusion](https://github.com/facefusion/facefusion) |Next generation face swapper and enhancer|
-| 240|[yoheinakajima/babyagi](https://github.com/yoheinakajima/babyagi)  |uses OpenAI and Pinecone APIs to create, prioritize, and execute tasks, This is a pared-down version of the original Task-Driven Autonomous Agent|
-| 241|[songquanpeng/one-api](https://github.com/songquanpeng/one-api) |OpenAI 接口管理 & 分发系统，支持 Azure、Anthropic Claude、Google PaLM 2 & Gemini、智谱 ChatGLM、百度文心一言、讯飞星火认知、阿里通义千问、360 智脑以及腾讯混元，可用于二次分发管理 key，仅单可执行文件，已打包好 Docker 镜像，一键部署，开箱即用. OpenAI key management & redistribution system, using a single API for all LLMs, and features an English UI.|
+| 239|[facefusion/facefusion](https://github.com/facefusion/facefusion) |Next generation face swapper and enhancer|
+| 240|[yoheinakajima/babyagi](https://github.com/yoheinakajima/babyagi)  |uses OpenAI and Pinecone APIs to create, prioritize, and execute tasks, This is a pared-down version of the original Task-Driven Autonomous Agent|
+| 241|[songquanpeng/one-api](https://github.com/songquanpeng/one-api) |OpenAI 接口管理 & 分发系统，支持 Azure、Anthropic Claude、Google PaLM 2 & Gemini、智谱 ChatGLM、百度文心一言、讯飞星火认知、阿里通义千问、360 智脑以及腾讯混元，可用于二次分发管理 key，仅单可执行文件，已打包好 Docker 镜像，一键部署，开箱即用. OpenAI key management & redistribution system, using a single API for all LLMs, and features an English UI.|
| 242|[microsoft/unilm](https://github.com/microsoft/unilm) |Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities|
-| 243|[Hannibal046/Awesome-LLM](https://github.com/Hannibal046/Awesome-LLM) |Awesome-LLM: a curated list of Large Language Model|
-| 244|[danny-avila/LibreChat](https://github.com/danny-avila/LibreChat) |Enhanced ChatGPT Clone: Features OpenAI, GPT-4 Vision, Bing, Anthropic, OpenRouter, Google Gemini, AI model switching, message search, langchain, DALL-E-3, ChatGPT Plugins, OpenAI Functions, Secure Multi-User System, Presets, completely open-source for self-hosting. More features in development|
+| 243|[Hannibal046/Awesome-LLM](https://github.com/Hannibal046/Awesome-LLM) |Awesome-LLM: a curated list of Large Language Model|
+| 244|[danny-avila/LibreChat](https://github.com/danny-avila/LibreChat) |Enhanced ChatGPT Clone: Features OpenAI, GPT-4 Vision, Bing, Anthropic, OpenRouter, Google Gemini, AI model switching, message search, langchain, DALL-E-3, ChatGPT Plugins, OpenAI Functions, Secure Multi-User System, Presets, completely open-source for self-hosting. More features in development|
| 245|[PromtEngineer/localGPT](https://github.com/PromtEngineer/localGPT)  |Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.|
-| 246|[blakeblackshear/frigate](https://github.com/blakeblackshear/frigate) |NVR with realtime local object detection for IP cameras|
-| 247|[Sanster/lama-cleaner](https://github.com/Sanster/lama-cleaner) |Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.|
-| 248|[HumanSignal/label-studio](https://github.com/HumanSignal/label-studio) |Label Studio is a multi-type data labeling and annotation tool with standardized output format|
-| 249|[elastic/kibana](https://github.com/elastic/kibana) |Your window into the Elastic Stack|
-| 250|🔥[unclecode/crawl4ai](https://github.com/unclecode/crawl4ai) |🔥🕷️ Crawl4AI: Open-source LLM Friendly Web Crawler & Scrapper|
-| 251|[unslothai/unsloth](https://github.com/unslothai/unsloth) |5X faster 50% less memory LLM finetuning|
-| 252|[mlc-ai/mlc-llm](https://github.com/mlc-ai/mlc-llm)  |Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.|
-| 253|[labring/FastGPT](https://github.com/labring/FastGPT) |A platform that uses the OpenAI API to quickly build an AI knowledge base, supporting many-to-many relationships.|
+|⭐ 246|🔥🔥[unclecode/crawl4ai](https://github.com/unclecode/crawl4ai) |🔥🕷️ Crawl4AI: Open-source LLM Friendly Web Crawler & Scrapper|
+| 247|[blakeblackshear/frigate](https://github.com/blakeblackshear/frigate) |NVR with realtime local object detection for IP cameras|
+| 248|[Sanster/lama-cleaner](https://github.com/Sanster/lama-cleaner) |Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.|
+| 249|[HumanSignal/label-studio](https://github.com/HumanSignal/label-studio) |Label Studio is a multi-type data labeling and annotation tool with standardized output format|
+| 250|[elastic/kibana](https://github.com/elastic/kibana) |Your window into the Elastic Stack|
+| 251|[unslothai/unsloth](https://github.com/unslothai/unsloth) |5X faster 50% less memory LLM finetuning|
+| 252|[mlc-ai/mlc-llm](https://github.com/mlc-ai/mlc-llm)  |Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.|
+| 253|[labring/FastGPT](https://github.com/labring/FastGPT) |A platform that uses the OpenAI API to quickly build an AI knowledge base, supporting many-to-many relationships.|
| 254|[ashishps1/awesome-system-design-resources](https://github.com/ashishps1/awesome-system-design-resources) |This repository contains System Design resources which are useful while preparing for interviews and learning Distributed Systems|
-| 255|[guidance-ai/guidance](https://github.com/guidance-ai/guidance) |A guidance language for controlling large language models.|
-| 256|[Cinnamon/kotaemon](https://github.com/Cinnamon/kotaemon) |An open-source RAG-based tool for chatting with your documents.|
+|⭐ 255|[Cinnamon/kotaemon](https://github.com/Cinnamon/kotaemon) |An open-source RAG-based tool for chatting with your documents.|
+| 256|[guidance-ai/guidance](https://github.com/guidance-ai/guidance) |A guidance language for controlling large language models.|
| 257|[harry0703/MoneyPrinterTurbo](https://github.com/harry0703/MoneyPrinterTurbo) |Generate short videos with one click using a large model|
-| 258|[BuilderIO/gpt-crawler](https://github.com/BuilderIO/gpt-crawler) |Crawl a site to generate knowledge files to create your own custom GPT from a URL|
-| 259|[cline/cline](https://github.com/cline/cline) |Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, and more with your permission every step of the way.|
-| 260|[tree-sitter/tree-sitter](https://github.com/tree-sitter/tree-sitter) |An incremental parsing system for programming tools|
-| 261|[mlflow/mlflow](https://github.com/mlflow/mlflow) |Open source platform for the machine learning lifecycle|
-| 262|[LiLittleCat/awesome-free-chatgpt](https://github.com/LiLittleCat/awesome-free-chatgpt) |🆓免费的 ChatGPT 镜像网站列表，持续更新。List of free ChatGPT mirror sites, continuously updated.|
-| 263|[black-forest-labs/flux](https://github.com/black-forest-labs/flux) |Official inference repo for FLUX.1 models|
-| 264|[Anjok07/ultimatevocalremovergui](https://github.com/Anjok07/ultimatevocalremovergui) |GUI for a Vocal Remover that uses Deep Neural Networks.|
+| 258|[cline/cline](https://github.com/cline/cline) |Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, and more with your permission every step of the way.|
+| 259|[BuilderIO/gpt-crawler](https://github.com/BuilderIO/gpt-crawler) |Crawl a site to generate knowledge files to create your own custom GPT from a URL|
+| 260|[tree-sitter/tree-sitter](https://github.com/tree-sitter/tree-sitter) |An incremental parsing system for programming tools|
+| 261|[mlflow/mlflow](https://github.com/mlflow/mlflow) |Open source platform for the machine learning lifecycle|
+| 262|[LiLittleCat/awesome-free-chatgpt](https://github.com/LiLittleCat/awesome-free-chatgpt) |🆓免费的 ChatGPT 镜像网站列表，持续更新。List of free ChatGPT mirror sites, continuously updated.|
+| 263|[black-forest-labs/flux](https://github.com/black-forest-labs/flux) |Official inference repo for FLUX.1 models|
+| 264|[Anjok07/ultimatevocalremovergui](https://github.com/Anjok07/ultimatevocalremovergui) |GUI for a Vocal Remover that uses Deep Neural Networks.|
| 265| [tloen/alpaca-lora](https://github.com/tloen/alpaca-lora)  | Instruct-tune LLaMA on consumer hardware|
| 266|[wez/wezterm](https://github.com/wez/wezterm) |A GPU-accelerated cross-platform terminal emulator and multiplexer written by @wez and implemented in Rust|
-| 267|[stitionai/devika](https://github.com/stitionai/devika) |Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective. Devika aims to be a competitive open-source alternative to Devin by Cognition AI.|
-| 268|[LazyVim/LazyVim](https://github.com/LazyVim/LazyVim) |Neovim config for the lazy|
+| 267|[stitionai/devika](https://github.com/stitionai/devika) |Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective. Devika aims to be a competitive open-source alternative to Devin by Cognition AI.|
+| 268|[LazyVim/LazyVim](https://github.com/LazyVim/LazyVim) |Neovim config for the lazy|
| 269|[ymcui/Chinese-LLaMA-Alpaca](https://github.com/ymcui/Chinese-LLaMA-Alpaca)  |Chinese LLaMA & Alpaca LLMs|
-| 270|[ml-tooling/best-of-ml-python](https://github.com/ml-tooling/best-of-ml-python) |🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.|
-| 271|[deepset-ai/haystack](https://github.com/deepset-ai/haystack) |🔍 Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-4, ChatGPT and alike). Haystack offers production-ready tools to quickly build complex question answering, semantic search, text generation applications, and more.|
-| 272|[valkey-io/valkey](https://github.com/valkey-io/valkey) |A flexible distributed key-value datastore that supports both caching and beyond caching workloads.|
+| 270|[ml-tooling/best-of-ml-python](https://github.com/ml-tooling/best-of-ml-python) |🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.|
+| 271|[deepset-ai/haystack](https://github.com/deepset-ai/haystack) |🔍 Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-4, ChatGPT and alike). Haystack offers production-ready tools to quickly build complex question answering, semantic search, text generation applications, and more.|
+| 272|[valkey-io/valkey](https://github.com/valkey-io/valkey) |A flexible distributed key-value datastore that supports both caching and beyond caching workloads.|
| 273|[samber/lo](https://github.com/samber/lo) |💥 A Lodash-style Go library based on Go 1.18+ Generics (map, filter, contains, find...)|
| 274|[kenjihiranabe/The-Art-of-Linear-Algebra](https://github.com/kenjihiranabe/The-Art-of-Linear-Algebra) |Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"|
-| 275|[exo-explore/exo](https://github.com/exo-explore/exo) |Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚|
-| 276|[brave/brave-browser](https://github.com/brave/brave-browser) |Brave browser for Android, iOS, Linux, macOS, Windows.|
-| 277|[ml-explore/mlx](https://github.com/ml-explore/mlx) |MLX: An array framework for Apple silicon|
-| 278|[DarkFlippers/unleashed-firmware](https://github.com/DarkFlippers/unleashed-firmware) |Flipper Zero Unleashed Firmware|
+| 275|[exo-explore/exo](https://github.com/exo-explore/exo) |Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚|
+| 276|[brave/brave-browser](https://github.com/brave/brave-browser) |Brave browser for Android, iOS, Linux, macOS, Windows.|
+| 277|[ml-explore/mlx](https://github.com/ml-explore/mlx) |MLX: An array framework for Apple silicon|
+| 278|[DarkFlippers/unleashed-firmware](https://github.com/DarkFlippers/unleashed-firmware) |Flipper Zero Unleashed Firmware|
| 279|[CodePhiliaX/Chat2DB](https://github.com/CodePhiliaX/Chat2DB) |🔥🔥🔥AI-driven database tool and SQL client, The hottest GUI client, supporting MySQL, Oracle, PostgreSQL, DB2, SQL Server, DB2, SQLite, H2, ClickHouse, and more.|
-| 280|[fishaudio/fish-speech](https://github.com/fishaudio/fish-speech) |Brand new TTS solution|
-| 281|[renovatebot/renovate](https://github.com/renovatebot/renovate) |Universal dependency update tool that fits into your workflows.|
-| 282|[joonspk-research/generative_agents](https://github.com/joonspk-research/generative_agents) |Generative Agents: Interactive Simulacra of Human Behavior|
-| 283|🔥[khoj-ai/khoj](https://github.com/khoj-ai/khoj) |Your AI second brain. A copilot to get answers to your questions, whether they be from your own notes or from the internet. Use powerful, online (e.g gpt4) or private, local (e.g mistral) LLMs. Self-host locally or use our web app. Access from Obsidian, Emacs, Desktop app, Web or Whatsapp.|
+| 280|[fishaudio/fish-speech](https://github.com/fishaudio/fish-speech) |Brand new TTS solution|
+| 281|🔥[khoj-ai/khoj](https://github.com/khoj-ai/khoj) |Your AI second brain. A copilot to get answers to your questions, whether they be from your own notes or from the internet. Use powerful, online (e.g gpt4) or private, local (e.g mistral) LLMs. Self-host locally or use our web app. Access from Obsidian, Emacs, Desktop app, Web or Whatsapp.|
+| 282|[renovatebot/renovate](https://github.com/renovatebot/renovate) |Universal dependency update tool that fits into your workflows.|
+| 283|[joonspk-research/generative_agents](https://github.com/joonspk-research/generative_agents) |Generative Agents: Interactive Simulacra of Human Behavior|
| 284|[thingsboard/thingsboard](https://github.com/thingsboard/thingsboard) |Open-source IoT Platform - Device management, data collection, processing and visualization.|
| 285|[PrefectHQ/prefect](https://github.com/PrefectHQ/prefect) |Prefect is a workflow orchestration tool empowering developers to build, observe, and react to data pipelines|
-| 286|[ItzCrazyKns/Perplexica](https://github.com/ItzCrazyKns/Perplexica) |Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI|
-| 287|[Avaiga/taipy](https://github.com/Avaiga/taipy) |Turns Data and AI algorithms into production-ready web applications in no time.|
-| 288|[openai/swarm](https://github.com/openai/swarm) |Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.|
-| 289|[phidatahq/phidata](https://github.com/phidatahq/phidata) |Build AI Assistants using function calling|
-| 290|[DS4SD/docling](https://github.com/DS4SD/docling) |Get your docs ready for gen AI|
+| 286|[ItzCrazyKns/Perplexica](https://github.com/ItzCrazyKns/Perplexica) |Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI|
+| 287|[Avaiga/taipy](https://github.com/Avaiga/taipy) |Turns Data and AI algorithms into production-ready web applications in no time.|
+| 288|[openai/swarm](https://github.com/openai/swarm) |Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.|
+| 289|[phidatahq/phidata](https://github.com/phidatahq/phidata) |Build AI Assistants using function calling|
+| 290|[DS4SD/docling](https://github.com/DS4SD/docling) |Get your docs ready for gen AI|
| 291|[HqWu-HITCS/Awesome-Chinese-LLM](https://github.com/HqWu-HITCS/Awesome-Chinese-LLM) |Organizing smaller, cost-effective, privately deployable open-source Chinese language models, including related datasets and tutorials|
| 292|[Mikubill/sd-webui-controlnet](https://github.com/Mikubill/sd-webui-controlnet)  |WebUI extension for ControlNet|
-| 293| [xx025/carrot](https://github.com/xx025/carrot)  | Free ChatGPT Site List |
-| 294|[apple/ml-stable-diffusion](https://github.com/apple/ml-stable-diffusion) |Stable Diffusion with Core ML on Apple Silicon|
-| 295|🔥🔥[stanford-oval/storm](https://github.com/stanford-oval/storm) |An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.|
-| 296|[ente-io/ente](https://github.com/ente-io/ente) |Fully open source, End to End Encrypted alternative to Google Photos and Apple Photos|
-| 297|[rlabbe/Kalman-and-Bayesian-Filters-in-Python](https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python) |Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.|
-| 298|[VinciGit00/Scrapegraph-ai](https://github.com/VinciGit00/Scrapegraph-ai) |Python scraper based on AI|
+|⭐ 293|🔥🔥[stanford-oval/storm](https://github.com/stanford-oval/storm) |An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.|
+| 294| [xx025/carrot](https://github.com/xx025/carrot)  | Free ChatGPT Site List |
+| 295|[apple/ml-stable-diffusion](https://github.com/apple/ml-stable-diffusion) |Stable Diffusion with Core ML on Apple Silicon|
+| 296|[ente-io/ente](https://github.com/ente-io/ente) |Fully open source, End to End Encrypted alternative to Google Photos and Apple Photos|
+| 297|[rlabbe/Kalman-and-Bayesian-Filters-in-Python](https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python) |Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.|
+| 298|[VinciGit00/Scrapegraph-ai](https://github.com/VinciGit00/Scrapegraph-ai) |Python scraper based on AI|
| 299|[w-okada/voice-changer](https://github.com/w-okada/voice-changer)  |リアルタイムボイスチェンジャー Realtime Voice Changer|
-| 300|[microsoft/LightGBM](https://github.com/microsoft/LightGBM) |A fast, distributed, high-performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.|
-| 301| [transitive-bullshit/chatgpt-api](https://github.com/transitive-bullshit/chatgpt-api)  | Node.js client for the official ChatGPT API. |
-| 302|[gitroomhq/postiz-app](https://github.com/gitroomhq/postiz-app) |📨 Schedule social posts, measure them, exchange with other members and get a lot of help from AI 🚀|
-| 303|[ardalis/CleanArchitecture](https://github.com/ardalis/CleanArchitecture) |Clean Architecture Solution Template: A starting point for Clean Architecture with ASP.NET Core|
+| 300|[microsoft/LightGBM](https://github.com/microsoft/LightGBM) |A fast, distributed, high-performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.|
+| 301| [transitive-bullshit/chatgpt-api](https://github.com/transitive-bullshit/chatgpt-api)  | Node.js client for the official ChatGPT API. |
+| 302|[gitroomhq/postiz-app](https://github.com/gitroomhq/postiz-app) |📨 Schedule social posts, measure them, exchange with other members and get a lot of help from AI 🚀|
+| 303|[ardalis/CleanArchitecture](https://github.com/ardalis/CleanArchitecture) |Clean Architecture Solution Template: A starting point for Clean Architecture with ASP.NET Core|
| 304|[emilwallner/Screenshot-to-code](https://github.com/emilwallner/Screenshot-to-code) |A neural network that transforms a design mock-up into a static website.|
-| 305|[apify/crawlee](https://github.com/apify/crawlee) |Crawlee—A web scraping and browser automation library for Node.js to build reliable crawlers. In JavaScript and TypeScript. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with Puppeteer, Playwright, Cheerio, JSDOM, and raw HTTP. Both headful and headless mode. With proxy rotation.|
-| 306|[chroma-core/chroma](https://github.com/chroma-core/chroma)  |the AI-native open-source embedding database|
+| 305|[apify/crawlee](https://github.com/apify/crawlee) |Crawlee—A web scraping and browser automation library for Node.js to build reliable crawlers. In JavaScript and TypeScript. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with Puppeteer, Playwright, Cheerio, JSDOM, and raw HTTP. Both headful and headless mode. With proxy rotation.|
+|⭐ 306|[chroma-core/chroma](https://github.com/chroma-core/chroma)  |the AI-native open-source embedding database|
| 307|[meta-llama/codellama](https://github.com/meta-llama/codellama) |Inference code for CodeLlama models|
| 308|[dair-ai/ML-YouTube-Courses](https://github.com/dair-ai/ML-YouTube-Courses) |📺 Discover the latest machine learning / AI courses on YouTube.|
| 309|[pybind/pybind11](https://github.com/pybind/pybind11) |Seamless operability between C++11 and Python|
| 310|[microsoft/qlib](https://github.com/microsoft/qlib) |Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.|
-| 311|[RPCS3/rpcs3](https://github.com/RPCS3/rpcs3) |PS3 emulator/debugger|
-| 312|[BerriAI/litellm](https://github.com/BerriAI/litellm) |Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)|
+| 311|[RPCS3/rpcs3](https://github.com/RPCS3/rpcs3) |PS3 emulator/debugger|
+| 312|[BerriAI/litellm](https://github.com/BerriAI/litellm) |Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)|
| 313|[ddbourgin/numpy-ml](https://github.com/ddbourgin/numpy-ml) |Machine learning, in numpy|
| 314|[Stability-AI/StableLM](https://github.com/Stability-AI/StableLM)  |Stability AI Language Models|
| 315|[meta-llama/llama-recipes](https://github.com/meta-llama/llama-recipes) |Scripts for fine-tuning Llama2 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization & question answering. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment.Demo apps to showcase Llama2 for WhatsApp & Messenger|
-| 316|[THUDM/ChatGLM2-6B](https://github.com/THUDM/ChatGLM2-6B) |ChatGLM2-6B: An Open Bilingual Chat LLM |
+| 316|[THUDM/ChatGLM2-6B](https://github.com/THUDM/ChatGLM2-6B) |ChatGLM2-6B: An Open Bilingual Chat LLM |
| 317|[neondatabase/neon](https://github.com/neondatabase/neon) |Neon: Serverless Postgres. We separated storage and compute to offer autoscaling, code-like database branching, and scale to zero.|
-| 318|[TransformerOptimus/SuperAGI](https://github.com/TransformerOptimus/SuperAGI)  |<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.|
-| 319|[assafelovic/gpt-researcher](https://github.com/assafelovic/gpt-researcher) |GPT based autonomous agent that does online comprehensive research on any given topic|
+| 318|[TransformerOptimus/SuperAGI](https://github.com/TransformerOptimus/SuperAGI)  |<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.|
+| 319|[assafelovic/gpt-researcher](https://github.com/assafelovic/gpt-researcher) |GPT based autonomous agent that does online comprehensive research on any given topic|
| 320|[IDEA-Research/Grounded-Segment-Anything](https://github.com/IDEA-Research/Grounded-Segment-Anything)  |Marrying Grounding DINO with Segment Anything & Stable Diffusion & BLIP - Automatically Detect, Segment and Generate Anything with Image and Text Inputs|
| 321|[umijs/umi](https://github.com/umijs/umi) |A framework in react community ✨|
| 322|[amplication/amplication](https://github.com/amplication/amplication) |🔥🔥🔥 The Only Production-Ready AI-Powered Backend Code Generation|
| 323|[typescript-eslint/typescript-eslint](https://github.com/typescript-eslint/typescript-eslint) |✨ Monorepo for all the tooling which enables ESLint to support TypeScript|
| 324|[sunner/ChatALL](https://github.com/sunner/ChatALL)  |Concurrently chat with ChatGPT, Bing Chat, Bard, Alpaca, Vincuna, Claude, ChatGLM, MOSS, iFlytek Spark, ERNIE and more, discover the best answers|
| 325|[NVIDIA/open-gpu-kernel-modules](https://github.com/NVIDIA/open-gpu-kernel-modules) |NVIDIA Linux open GPU kernel module source|
-| 326|[serengil/deepface](https://github.com/serengil/deepface) |A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python|
+| 326|[serengil/deepface](https://github.com/serengil/deepface) |A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python|
| 327|[GaiZhenbiao/ChuanhuChatGPT](https://github.com/GaiZhenbiao/ChuanhuChatGPT) |GUI for ChatGPT API and many LLMs. Supports agents, file-based QA, GPT finetuning and query with web search. All with a neat UI.|
| 328|[graphdeco-inria/gaussian-splatting](https://github.com/graphdeco-inria/gaussian-splatting) |Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"|
| 329|[KindXiaoming/pykan](https://github.com/KindXiaoming/pykan) |Kolmogorov Arnold Networks|
-| 330|[openai/evals](https://github.com/openai/evals)  |Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.|
-| 331|[abseil/abseil-cpp](https://github.com/abseil/abseil-cpp) |Abseil Common Libraries (C++)|
+| 330|[openai/evals](https://github.com/openai/evals)  |Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.|
+| 331|[abseil/abseil-cpp](https://github.com/abseil/abseil-cpp) |Abseil Common Libraries (C++)|
| 332|[microsoft/Bringing-Old-Photos-Back-to-Life](https://github.com/microsoft/Bringing-Old-Photos-Back-to-Life) |Bringing Old Photo Back to Life (CVPR 2020 oral)|
| 333|[arc53/DocsGPT](https://github.com/arc53/DocsGPT) |GPT-powered chat for documentation, chat with your documents|
-| 334|[microsoft/onnxruntime](https://github.com/microsoft/onnxruntime) |ONNX Runtime: cross-platform, high-performance ML inferencing and training accelerator|
-| 335|[QwenLM/Qwen-7B](https://github.com/QwenLM/Qwen-7B) |The official repo of Qwen-7B (通义千问-7B) chat & pretrained large language model proposed by Alibaba Cloud.|
+| 334|[microsoft/onnxruntime](https://github.com/microsoft/onnxruntime) |ONNX Runtime: cross-platform, high-performance ML inferencing and training accelerator|
+| 335|[QwenLM/Qwen-7B](https://github.com/QwenLM/Qwen-7B) |The official repo of Qwen-7B (通义千问-7B) chat & pretrained large language model proposed by Alibaba Cloud.|
| 336|[Raphire/Win11Debloat](https://github.com/Raphire/Win11Debloat) |A simple, easy to use PowerShell script to remove pre-installed apps from windows, disable telemetry, remove Bing from windows search as well as perform various other changes to declutter and improve your windows experience. This script works for both windows 10 and windows 11.|
-| 337|[kestra-io/kestra](https://github.com/kestra-io/kestra) |⚡ Workflow Automation Platform. Orchestrate & Schedule code in any language, run anywhere, 500+ plugins. Alternative to Zapier, Rundeck, Camunda, Airflow...|
-| 338|[VikParuchuri/surya](https://github.com/VikParuchuri/surya) |Accurate line-level text detection and recognition (OCR) in any language|
+| 337|[kestra-io/kestra](https://github.com/kestra-io/kestra) |⚡ Workflow Automation Platform. Orchestrate & Schedule code in any language, run anywhere, 500+ plugins. Alternative to Zapier, Rundeck, Camunda, Airflow...|
+| 338|[VikParuchuri/surya](https://github.com/VikParuchuri/surya) |Accurate line-level text detection and recognition (OCR) in any language|
| 339|[influxdata/telegraf](https://github.com/influxdata/telegraf) |Agent for collecting, processing, aggregating, and writing metrics, logs, and other arbitrary data.|
| 340| [mayooear/gpt4-pdf-chatbot-langchain](https://github.com/mayooear/gpt4-pdf-chatbot-langchain)  | GPT4 & LangChain Chatbot for large PDF docs |
| 341|[CopilotKit/CopilotKit](https://github.com/CopilotKit/CopilotKit) |Build in-app AI chatbots 🤖, and AI-powered Textareas ✨, into react web apps.|
-| 342|[Dao-AILab/flash-attention](https://github.com/Dao-AILab/flash-attention) |Fast and memory-efficient exact attention|
-| 343|[teableio/teable](https://github.com/teableio/teable) |✨ The Next Gen Airtable Alternative: No-Code Postgres|
+| 342|[Dao-AILab/flash-attention](https://github.com/Dao-AILab/flash-attention) |Fast and memory-efficient exact attention|
+| 343|[teableio/teable](https://github.com/teableio/teable) |✨ The Next Gen Airtable Alternative: No-Code Postgres|
| 344|[apache/arrow](https://github.com/apache/arrow) |Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing|
| 345|[alibaba/lowcode-engine](https://github.com/alibaba/lowcode-engine) |An enterprise-class low-code technology stack with scale-out design / 一套面向扩展设计的企业级低代码技术体系|
| 346|[xcanwin/KeepChatGPT](https://github.com/xcanwin/KeepChatGPT)  |Using ChatGPT is more efficient and smoother, perfectly solving ChatGPT network errors. No longer do you need to frequently refresh the webpage, saving over 10 unnecessary steps|
@@ -380,13 +380,13 @@
| 348|[AI4Finance-Foundation/FinGPT](https://github.com/AI4Finance-Foundation/FinGPT) |Data-Centric FinGPT. Open-source for open finance! Revolutionize 🔥 We'll soon release the trained model.|
| 349|[HumanAIGC/AnimateAnyone](https://github.com/HumanAIGC/AnimateAnyone) |Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation|
| 350|[overleaf/overleaf](https://github.com/overleaf/overleaf) |A web-based collaborative LaTeX editor|
-| 351|[LlamaFamily/Llama-Chinese](https://github.com/LlamaFamily/Llama-Chinese) |Llama Chinese Community, the best Chinese Llama large model, fully open source and commercially available|
+| 351|[LlamaFamily/Llama-Chinese](https://github.com/LlamaFamily/Llama-Chinese) |Llama Chinese Community, the best Chinese Llama large model, fully open source and commercially available|
| 352|[eosphoros-ai/DB-GPT](https://github.com/eosphoros-ai/DB-GPT) |Revolutionizing Database Interactions with Private LLM Technology|
-| 353|[datawhalechina/leedl-tutorial](https://github.com/datawhalechina/leedl-tutorial) |《李宏毅深度学习教程》（李宏毅老师推荐👍），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases|
-| 354|[espressif/esp-idf](https://github.com/espressif/esp-idf) |Espressif IoT Development Framework. Official development framework for Espressif SoCs.|
+| 353|[datawhalechina/leedl-tutorial](https://github.com/datawhalechina/leedl-tutorial) |《李宏毅深度学习教程》（李宏毅老师推荐👍），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases|
+| 354|[espressif/esp-idf](https://github.com/espressif/esp-idf) |Espressif IoT Development Framework. Official development framework for Espressif SoCs.|
| 355|[mlc-ai/web-llm](https://github.com/mlc-ai/web-llm)  |Bringing large-language models and chat to web browsers. Everything runs inside the browser with no server support.|
-| 356|[princeton-nlp/SWE-agent](https://github.com/princeton-nlp/SWE-agent) |SWE-agent: Agent Computer Interfaces Enable Software Engineering Language Models|
-| 357|[Zeyi-Lin/HivisionIDPhotos](https://github.com/Zeyi-Lin/HivisionIDPhotos) |⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。|
+| 356|[princeton-nlp/SWE-agent](https://github.com/princeton-nlp/SWE-agent) |SWE-agent: Agent Computer Interfaces Enable Software Engineering Language Models|
+| 357|[Zeyi-Lin/HivisionIDPhotos](https://github.com/Zeyi-Lin/HivisionIDPhotos) |⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。|
| 358|[unifyai/ivy](https://github.com/unifyai/ivy) |Unified AI|
| 359|[bleedline/aimoneyhunter](https://github.com/bleedline/aimoneyhunter) |AI Side Hustle Money Mega Collection: Teaching You How to Utilize AI for Various Side Projects to Earn Extra Income.|
| 360|[naklecha/llama3-from-scratch](https://github.com/naklecha/llama3-from-scratch) |llama3 implementation one matrix multiplication at a time|
@@ -395,67 +395,67 @@
| 363|[triton-lang/triton](https://github.com/triton-lang/triton) |Development repository for the Triton language and compiler|
| 364|[soxoj/maigret](https://github.com/soxoj/maigret) |🕵️♂️ Collect a dossier on a person by username from thousands of sites|
| 365|[stefan-jansen/machine-learning-for-trading](https://github.com/stefan-jansen/machine-learning-for-trading) |Code for Machine Learning for Algorithmic Trading, 2nd edition.|
-| 366|[letta-ai/letta](https://github.com/letta-ai/letta) |Letta (formerly MemGPT) is a framework for creating LLM services with memory.|
-| 367|[Byaidu/PDFMathTranslate](https://github.com/Byaidu/PDFMathTranslate) |PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译，支持 Google/DeepL/Ollama/OpenAI 等服务，提供 CLI/GUI/Docker|
-| 368|[state-spaces/mamba](https://github.com/state-spaces/mamba) |Mamba: Linear-Time Sequence Modeling with Selective State Spaces|
+| 366|[Byaidu/PDFMathTranslate](https://github.com/Byaidu/PDFMathTranslate) |PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译，支持 Google/DeepL/Ollama/OpenAI 等服务，提供 CLI/GUI/Docker|
+| 367|[letta-ai/letta](https://github.com/letta-ai/letta) |Letta (formerly MemGPT) is a framework for creating LLM services with memory.|
+| 368|[state-spaces/mamba](https://github.com/state-spaces/mamba) |Mamba: Linear-Time Sequence Modeling with Selective State Spaces|
| 369|[THUDM/ChatGLM3](https://github.com/THUDM/ChatGLM3) |ChatGLM3 series: Open Bilingual Chat LLMs |
| 370|[steven-tey/novel](https://github.com/steven-tey/novel) |Notion-style WYSIWYG editor with AI-powered autocompletions|
-| 371|[neonbjb/tortoise-tts](https://github.com/neonbjb/tortoise-tts)  |A multi-voice TTS system trained with an emphasis on quality|
+| 371|[neonbjb/tortoise-tts](https://github.com/neonbjb/tortoise-tts)  |A multi-voice TTS system trained with an emphasis on quality|
| 372|[BradyFU/Awesome-Multimodal-Large-Language-Models](https://github.com/BradyFU/Awesome-Multimodal-Large-Language-Models) |Latest Papers and Datasets on Multimodal Large Language Models|
| 373| [fuergaosi233/wechat-chatgpt](https://github.com/fuergaosi233/wechat-chatgpt)  | Use ChatGPT On Wechat via wechaty |
| 374|[pgvector/pgvector](https://github.com/pgvector/pgvector) |Open-source vector similarity search for Postgres|
-| 375|[guillaumekln/faster-whisper](https://github.com/guillaumekln/faster-whisper)  |Faster Whisper transcription with CTranslate2|
+| 375|[guillaumekln/faster-whisper](https://github.com/guillaumekln/faster-whisper)  |Faster Whisper transcription with CTranslate2|
| 376| [wong2/chatgpt-google-extension](https://github.com/wong2/chatgpt-google-extension)  | A browser extension that enhances search engines with ChatGPT, this repos will not be updated from 2023-02-20|
| 377|[adobe/react-spectrum](https://github.com/adobe/react-spectrum) |A collection of libraries and tools that help you build adaptive, accessible, and robust user experiences.|
| 378|[lukas-blecher/LaTeX-OCR](https://github.com/lukas-blecher/LaTeX-OCR) |pix2tex: Using a ViT to convert images of equations into LaTeX code.|
-| 379|[m-bain/whisperX](https://github.com/m-bain/whisperX) |WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)|
-| 380|[nocobase/nocobase](https://github.com/nocobase/nocobase) |NocoBase is a scalability-first, open-source no-code/low-code platform for building business applications and enterprise solutions.|
-| 381|[chidiwilliams/buzz](https://github.com/chidiwilliams/buzz)  |Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.|
+| 379|[m-bain/whisperX](https://github.com/m-bain/whisperX) |WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)|
+| 380|[nocobase/nocobase](https://github.com/nocobase/nocobase) |NocoBase is a scalability-first, open-source no-code/low-code platform for building business applications and enterprise solutions.|
+| 381|[chidiwilliams/buzz](https://github.com/chidiwilliams/buzz)  |Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.|
| 382|[OpenBMB/MiniCPM-V](https://github.com/OpenBMB/MiniCPM-V) |MiniCPM-V 2.0: An Efficient End-side MLLM with Strong OCR and Understanding Capabilities|
| 383|[BlinkDL/RWKV-LM](https://github.com/BlinkDL/RWKV-LM)  |RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it combines the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.|
-| 384|[openai/tiktoken](https://github.com/openai/tiktoken) |tiktoken is a fast BPE tokeniser for use with OpenAI's models.|
-| 385|[e2b-dev/awesome-ai-agents](https://github.com/e2b-dev/awesome-ai-agents) |A list of AI autonomous agents|
+| 384|[openai/tiktoken](https://github.com/openai/tiktoken) |tiktoken is a fast BPE tokeniser for use with OpenAI's models.|
+| 385|[e2b-dev/awesome-ai-agents](https://github.com/e2b-dev/awesome-ai-agents) |A list of AI autonomous agents|
| 386|[NVIDIA/NeMo](https://github.com/NVIDIA/NeMo) |A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)|
-| 387|[Koenkk/zigbee2mqtt](https://github.com/Koenkk/zigbee2mqtt) |Zigbee 🐝 to MQTT bridge 🌉, get rid of your proprietary Zigbee bridges 🔨|
+| 387|[Koenkk/zigbee2mqtt](https://github.com/Koenkk/zigbee2mqtt) |Zigbee 🐝 to MQTT bridge 🌉, get rid of your proprietary Zigbee bridges 🔨|
| 388|[microsoft/BitNet](https://github.com/microsoft/BitNet) |Official inference framework for 1-bit LLMs|
| 389|[vanna-ai/vanna](https://github.com/vanna-ai/vanna) |🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.|
| 390|[xenova/transformers.js](https://github.com/xenova/transformers.js) |State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!|
| 391|[pytube/pytube](https://github.com/pytube/pytube) |A lightweight, dependency-free Python library (and command-line utility) for downloading YouTube Videos.|
-| 392|[udecode/plate](https://github.com/udecode/plate) |A rich-text editor powered by AI|
-| 393|[1Panel-dev/MaxKB](https://github.com/1Panel-dev/MaxKB) |? Based on LLM large language model knowledge base Q&A system. Ready to use out of the box, supports quick integration into third-party business systems. Officially produced by 1Panel|
+| 392|[udecode/plate](https://github.com/udecode/plate) |A rich-text editor powered by AI|
+| 393|[1Panel-dev/MaxKB](https://github.com/1Panel-dev/MaxKB) |? Based on LLM large language model knowledge base Q&A system. Ready to use out of the box, supports quick integration into third-party business systems. Officially produced by 1Panel|
| 394|[plasma-umass/scalene](https://github.com/plasma-umass/scalene) |Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals|
| 395|[netease-youdao/QAnything](https://github.com/netease-youdao/QAnything) |Question and Answer based on Anything.|
| 396|[OpenTalker/SadTalker](https://github.com/OpenTalker/SadTalker) |[CVPR 2023] SadTalker：Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation|
| 397|[stas00/ml-engineering](https://github.com/stas00/ml-engineering) |Machine Learning Engineering Guides and Tools|
| 398|[facebookresearch/AnimatedDrawings](https://github.com/facebookresearch/AnimatedDrawings)  
|Code to accompany "A Method for Animating Children's Drawings of the Human Figure"|
| 399| [willwulfken/MidJourney-Styles-and-Keywords-Reference](https://github.com/willwulfken/MidJourney-Styles-and-Keywords-Reference)  | A reference containing Styles and Keywords that you can use with MidJourney AI|
-| 400|[official-stockfish/Stockfish](https://github.com/official-stockfish/Stockfish) |UCI chess engine|
-| 401|[OpenLMLab/MOSS](https://github.com/OpenLMLab/MOSS)  |An open-source tool-augmented conversational language model from Fudan University|
+| 400|[official-stockfish/Stockfish](https://github.com/official-stockfish/Stockfish) |UCI chess engine|
+| 401|[OpenLMLab/MOSS](https://github.com/OpenLMLab/MOSS)  |An open-source tool-augmented conversational language model from Fudan University|
| 402|[smol-ai/developer](https://github.com/smol-ai/developer)  | With 100k context windows on the way, it's now feasible for every dev to have their own smol developer|
| 403|[PKU-YuanGroup/Open-Sora-Plan](https://github.com/PKU-YuanGroup/Open-Sora-Plan) |This project aim to reproduce Sora (Open AI T2V model), but we only have limited resource. We deeply wish the all open source community can contribute to this project.|
| 404|[illacloud/illa-builder](https://github.com/illacloud/illa-builder) |Create AI-Driven Apps like Assembling Blocks|
-| 405|[openai/shap-e](https://github.com/openai/shap-e)  |Generate 3D objects conditioned on text or images|
+| 405|[openai/shap-e](https://github.com/openai/shap-e)  |Generate 3D objects conditioned on text or images|
| 406|[bytebase/bytebase](https://github.com/bytebase/bytebase) |World's most advanced database DevOps and CI/CD for Developer, DBA and Platform Engineering teams. The GitLab/GitHub for database DevOps.|
| 407|[mrdbourke/pytorch-deep-learning](https://github.com/mrdbourke/pytorch-deep-learning) |Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.|
-| 408|[ShishirPatil/gorilla](https://github.com/ShishirPatil/gorilla)  |Gorilla: An API store for LLMs|
-| 409|[h2oai/h2ogpt](https://github.com/h2oai/h2ogpt)  |Come join the movement to make the world's best open source GPT led by H2O.ai - 100% private chat and document search, no data leaks, Apache 2.0|
+| 408|[ShishirPatil/gorilla](https://github.com/ShishirPatil/gorilla)  |Gorilla: An API store for LLMs|
+| 409|[h2oai/h2ogpt](https://github.com/h2oai/h2ogpt)  |Come join the movement to make the world's best open source GPT led by H2O.ai - 100% private chat and document search, no data leaks, Apache 2.0|
| 410|[QwenLM/Qwen2.5](https://github.com/QwenLM/Qwen2.5) |Qwen2.5 is the large language model series developed by Qwen team, Alibaba Cloud.|
| 411|[ggerganov/ggml](https://github.com/ggerganov/ggml)  |Tensor library for machine learning|
-| 412|[eugeneyan/open-llms](https://github.com/eugeneyan/open-llms)  |A list of open LLMs available for commercial use.|
-| 413|[mediar-ai/screenpipe](https://github.com/mediar-ai/screenpipe) |24/7 local AI screen & mic recording. Build AI apps that have the full context. Works with Ollama. Alternative to Rewind.ai. Open. Secure. You own your data. Rust.|
-| 414|[danswer-ai/danswer](https://github.com/danswer-ai/danswer) |Ask Questions in natural language and get Answers backed by private sources. Connects to tools like Slack, GitHub, Confluence, etc.|
-| 415|[pathwaycom/llm-app](https://github.com/pathwaycom/llm-app) |Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.|
-| 416|[Skyvern-AI/skyvern](https://github.com/Skyvern-AI/skyvern) |Automate browser-based workflows with LLMs and Computer Vision|
+| 412|[mediar-ai/screenpipe](https://github.com/mediar-ai/screenpipe) |24/7 local AI screen & mic recording. Build AI apps that have the full context. Works with Ollama. Alternative to Rewind.ai. Open. Secure. You own your data. Rust.|
+| 413|[eugeneyan/open-llms](https://github.com/eugeneyan/open-llms)  |A list of open LLMs available for commercial use.|
+| 414|[danswer-ai/danswer](https://github.com/danswer-ai/danswer) |Ask Questions in natural language and get Answers backed by private sources. Connects to tools like Slack, GitHub, Confluence, etc.|
+| 415|[pathwaycom/llm-app](https://github.com/pathwaycom/llm-app) |Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.|
+| 416|[Skyvern-AI/skyvern](https://github.com/Skyvern-AI/skyvern) |Automate browser-based workflows with LLMs and Computer Vision|
| 417|[kgrzybek/modular-monolith-with-ddd](https://github.com/kgrzybek/modular-monolith-with-ddd) |Full Modular Monolith application with Domain-Driven Design approach.|
| 418|[hajimehoshi/ebiten](https://github.com/hajimehoshi/ebiten) |Ebitengine - A dead simple 2D game engine for Go|
| 419|[DataTalksClub/mlops-zoomcamp](https://github.com/DataTalksClub/mlops-zoomcamp) |Free MLOps course from DataTalks.Club|
| 420|[InstantID/InstantID](https://github.com/InstantID/InstantID) |InstantID : Zero-shot Identity-Preserving Generation in Seconds 🔥|
| 421|[kubeshark/kubeshark](https://github.com/kubeshark/kubeshark) |The API traffic analyzer for Kubernetes providing real-time K8s protocol-level visibility, capturing and monitoring all traffic and payloads going in, out and across containers, pods, nodes and clusters. Inspired by Wireshark, purposely built for Kubernetes|
| 422|[owainlewis/awesome-artificial-intelligence](https://github.com/owainlewis/awesome-artificial-intelligence) |A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.|
-| 423|[Rudrabha/Wav2Lip](https://github.com/Rudrabha/Wav2Lip) |This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020.|
+| 423|[Rudrabha/Wav2Lip](https://github.com/Rudrabha/Wav2Lip) |This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020.|
| 424|[Lightning-AI/litgpt](https://github.com/Lightning-AI/litgpt) |Pretrain, finetune, deploy 20+ LLMs on your own data. Uses state-of-the-art techniques: flash attention, FSDP, 4-bit, LoRA, and more.|
-| 425|[facebookresearch/seamless_communication](https://github.com/facebookresearch/seamless_communication) |Foundational Models for State-of-the-Art Speech and Text Translation|
-| 426|[Shubhamsaboo/awesome-llm-apps](https://github.com/Shubhamsaboo/awesome-llm-apps) |Collection of awesome LLM apps with RAG using OpenAI, Anthropic, Gemini and opensource models.|
+| 425|[facebookresearch/seamless_communication](https://github.com/facebookresearch/seamless_communication) |Foundational Models for State-of-the-Art Speech and Text Translation|
+| 426|[Shubhamsaboo/awesome-llm-apps](https://github.com/Shubhamsaboo/awesome-llm-apps) |Collection of awesome LLM apps with RAG using OpenAI, Anthropic, Gemini and opensource models.|
| 427|[NVIDIA/Megatron-LM](https://github.com/NVIDIA/Megatron-LM) |Ongoing research training transformer models at scale|
| 428|[NVIDIA/TensorRT](https://github.com/NVIDIA/TensorRT) |NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.|
| 429|[plandex-ai/plandex](https://github.com/plandex-ai/plandex) |An AI coding engine for complex tasks|
@@ -463,58 +463,58 @@
| 431|[vercel-labs/ai](https://github.com/vercel-labs/ai) |Build AI-powered applications with React, Svelte, and Vue|
| 432|[karpathy/micrograd](https://github.com/karpathy/micrograd) |A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API|
| 433|[databrickslabs/dolly](https://github.com/databrickslabs/dolly)  | A large language model trained on the Databricks Machine Learning Platform|
-| 434|[activepieces/activepieces](https://github.com/activepieces/activepieces) |Your friendliest open source all-in-one automation tool ✨ Workflow automation tool 100+ integration / Enterprise automation tool / Zapier Alternative|
+| 434|[activepieces/activepieces](https://github.com/activepieces/activepieces) |Your friendliest open source all-in-one automation tool ✨ Workflow automation tool 100+ integration / Enterprise automation tool / Zapier Alternative|
| 435|[RUCAIBox/LLMSurvey](https://github.com/RUCAIBox/LLMSurvey)  |A collection of papers and resources related to Large Language Models.|
-| 436|[WordPress/gutenberg](https://github.com/WordPress/gutenberg) |The Block Editor project for WordPress and beyond. Plugin is available from the official repository.|
-| 437|[libretro/RetroArch](https://github.com/libretro/RetroArch) |Cross-platform, sophisticated frontend for the libretro API. Licensed GPLv3.|
+| 436|[WordPress/gutenberg](https://github.com/WordPress/gutenberg) |The Block Editor project for WordPress and beyond. Plugin is available from the official repository.|
+| 437|[libretro/RetroArch](https://github.com/libretro/RetroArch) |Cross-platform, sophisticated frontend for the libretro API. Licensed GPLv3.|
| 438|[magic-research/magic-animate](https://github.com/magic-research/magic-animate) |MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model|
-| 439|[vercel/ai-chatbot](https://github.com/vercel/ai-chatbot) |A full-featured, hackable Next.js AI chatbot built by Vercel|
-| 440|[dair-ai/ML-Papers-of-the-Week](https://github.com/dair-ai/ML-Papers-of-the-Week)  |🔥Highlighting the top ML papers every week.|
+| 439|[vercel/ai-chatbot](https://github.com/vercel/ai-chatbot) |A full-featured, hackable Next.js AI chatbot built by Vercel|
+| 440|[dair-ai/ML-Papers-of-the-Week](https://github.com/dair-ai/ML-Papers-of-the-Week)  |🔥Highlighting the top ML papers every week.|
| 441|[HigherOrderCO/HVM](https://github.com/HigherOrderCO/HVM) |A massively parallel, optimal functional runtime in Rust|
| 442|[lz4/lz4](https://github.com/lz4/lz4) |Extremely Fast Compression algorithm|
| 443|[Z3Prover/z3](https://github.com/Z3Prover/z3) |The Z3 Theorem Prover|
| 444|[huggingface/trl](https://github.com/huggingface/trl) |Train transformer language models with reinforcement learning.|
| 445|[szimek/sharedrop](https://github.com/szimek/sharedrop) |Easy P2P file transfer powered by WebRTC - inspired by Apple AirDrop|
-| 446|[bentoml/OpenLLM](https://github.com/bentoml/OpenLLM) |An open platform for operating large language models (LLMs) in production. Fine-tune, serve, deploy, and monitor any LLMs with ease.|
-| 447|[PaperMC/Paper](https://github.com/PaperMC/Paper) |The most widely used, high performance Minecraft server that aims to fix gameplay and mechanics inconsistencies|
-| 448|[srush/GPU-Puzzles](https://github.com/srush/GPU-Puzzles) |Solve puzzles. Learn CUDA.|
+| 446|[PaperMC/Paper](https://github.com/PaperMC/Paper) |The most widely used, high performance Minecraft server that aims to fix gameplay and mechanics inconsistencies|
+| 447|[bentoml/OpenLLM](https://github.com/bentoml/OpenLLM) |An open platform for operating large language models (LLMs) in production. Fine-tune, serve, deploy, and monitor any LLMs with ease.|
+| 448|[srush/GPU-Puzzles](https://github.com/srush/GPU-Puzzles) |Solve puzzles. Learn CUDA.|
| 449|[zyronon/douyin](https://github.com/zyronon/douyin) |Vue3 + Pinia + Vite5 仿抖音，Vue 在移动端的最佳实践 . Imitate TikTok ，Vue Best practices on Mobile|
-| 450|[vosen/ZLUDA](https://github.com/vosen/ZLUDA) |CUDA on AMD GPUs|
+| 450|[vosen/ZLUDA](https://github.com/vosen/ZLUDA) |CUDA on AMD GPUs|
| 451|[THU-MIG/yolov10](https://github.com/THU-MIG/yolov10) |YOLOv10: Real-Time End-to-End Object Detection|
| 452|[normal-computing/outlines](https://github.com/normal-computing/outlines) |Generative Model Programming|
-| 453|[aws/amazon-sagemaker-examples](https://github.com/aws/amazon-sagemaker-examples) |Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.|
+| 453|[aws/amazon-sagemaker-examples](https://github.com/aws/amazon-sagemaker-examples) |Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.|
| 454|[artidoro/qlora](https://github.com/artidoro/qlora)  |QLoRA: Efficient Finetuning of Quantized LLMs|
-| 455|[LibreTranslate/LibreTranslate](https://github.com/LibreTranslate/LibreTranslate) |Free and Open Source Machine Translation API. Self-hosted, offline capable and easy to setup.|
-| 456|[THUDM/CogVideo](https://github.com/THUDM/CogVideo) |Text-to-video generation: CogVideoX (2024) and CogVideo (ICLR 2023)|
+| 455|[LibreTranslate/LibreTranslate](https://github.com/LibreTranslate/LibreTranslate) |Free and Open Source Machine Translation API. Self-hosted, offline capable and easy to setup.|
+| 456|[THUDM/CogVideo](https://github.com/THUDM/CogVideo) |Text-to-video generation: CogVideoX (2024) and CogVideo (ICLR 2023)|
| 457|[salesforce/LAVIS](https://github.com/salesforce/LAVIS)  |LAVIS - A One-stop Library for Language-Vision Intelligence|
| 458| [chathub-dev/chathub](https://github.com/chathub-dev/chathub)  | All-in-one chatbot client |
| 459|[AIGC-Audio/AudioGPT](https://github.com/AIGC-Audio/AudioGPT)  |AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head|
| 460|[kedro-org/kedro](https://github.com/kedro-org/kedro) |Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.|
-| 461|[electric-sql/pglite](https://github.com/electric-sql/pglite) |Lightweight Postgres packaged as WASM into a TypeScript library for the browser, Node.js, Bun and Deno from https://electric-sql.com|
-| 462| [TheR1D/shell_gpt](https://github.com/TheR1D/shell_gpt)  | A command-line productivity tool powered by ChatGPT, will help you accomplish your tasks faster and more efficiently |
-| 463|[aishwaryanr/awesome-generative-ai-guide](https://github.com/aishwaryanr/awesome-generative-ai-guide) |A one stop repository for generative AI research updates, interview resources, notebooks and much more!|
+| 461|[electric-sql/pglite](https://github.com/electric-sql/pglite) |Lightweight Postgres packaged as WASM into a TypeScript library for the browser, Node.js, Bun and Deno from https://electric-sql.com|
+| 462| [TheR1D/shell_gpt](https://github.com/TheR1D/shell_gpt)  | A command-line productivity tool powered by ChatGPT, will help you accomplish your tasks faster and more efficiently |
+| 463|[aishwaryanr/awesome-generative-ai-guide](https://github.com/aishwaryanr/awesome-generative-ai-guide) |A one stop repository for generative AI research updates, interview resources, notebooks and much more!|
| 464|[cumulo-autumn/StreamDiffusion](https://github.com/cumulo-autumn/StreamDiffusion) |StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation|
| 465|[mistralai/mistral-src](https://github.com/mistralai/mistral-src) |Reference implementation of Mistral AI 7B v0.1 model.|
| 466|[DataTalksClub/machine-learning-zoomcamp](https://github.com/DataTalksClub/machine-learning-zoomcamp) |The code from the Machine Learning Bookcamp book and a free course based on the book|
| 467|[NielsRogge/Transformers-Tutorials](https://github.com/NielsRogge/Transformers-Tutorials) |This repository contains demos I made with the Transformers library by HuggingFace.|
| 468|[microsoft/promptflow](https://github.com/microsoft/promptflow) |Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.|
| 469|[nerfstudio-project/nerfstudio](https://github.com/nerfstudio-project/nerfstudio) |A collaboration friendly studio for NeRFs|
-| 470|[Unstructured-IO/unstructured](https://github.com/Unstructured-IO/unstructured) |Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.|
-| 471|[cupy/cupy](https://github.com/cupy/cupy) |NumPy & SciPy for GPU|
-| 472|[deepseek-ai/DeepSeek-Coder](https://github.com/deepseek-ai/DeepSeek-Coder) |DeepSeek Coder: Let the Code Write Itself|
-| 473|[TheRamU/Fay](https://github.com/TheRamU/Fay)  |Fay is a complete open source project that includes Fay controller and numeral models, which can be used in different applications such as virtual hosts, live promotion, numeral human interaction and so on|
-| 474|[facebookresearch/dinov2](https://github.com/facebookresearch/dinov2)  |PyTorch code and models for the DINOv2 self-supervised learning method.|
-| 475|[andrewyng/aisuite](https://github.com/andrewyng/aisuite) |Simple, unified interface to multiple Generative AI providers|
+| 470|[Unstructured-IO/unstructured](https://github.com/Unstructured-IO/unstructured) |Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.|
+| 471|[cupy/cupy](https://github.com/cupy/cupy) |NumPy & SciPy for GPU|
+| 472|[deepseek-ai/DeepSeek-Coder](https://github.com/deepseek-ai/DeepSeek-Coder) |DeepSeek Coder: Let the Code Write Itself|
+| 473|[TheRamU/Fay](https://github.com/TheRamU/Fay)  |Fay is a complete open source project that includes Fay controller and numeral models, which can be used in different applications such as virtual hosts, live promotion, numeral human interaction and so on|
+| 474|[facebookresearch/dinov2](https://github.com/facebookresearch/dinov2)  |PyTorch code and models for the DINOv2 self-supervised learning method.|
+| 475|[andrewyng/aisuite](https://github.com/andrewyng/aisuite) |Simple, unified interface to multiple Generative AI providers|
| 476|[huggingface/text-generation-inference](https://github.com/huggingface/text-generation-inference) |Large Language Model Text Generation Inference|
| 477|[popcorn-official/popcorn-desktop](https://github.com/popcorn-official/popcorn-desktop) |Popcorn Time is a multi-platform, free software BitTorrent client that includes an integrated media player ( Windows / Mac / Linux ) A Butter-Project Fork|
-| 478|[ai16z/eliza](https://github.com/ai16z/eliza) |Conversational Agent for Twitter and Discord|
+| 478|[ai16z/eliza](https://github.com/ai16z/eliza) |Conversational Agent for Twitter and Discord|
| 479| [BloopAI/bloop](https://github.com/BloopAI/bloop)  | A fast code search engine written in Rust|
-| 480|[BlinkDL/ChatRWKV](https://github.com/BlinkDL/ChatRWKV)  |ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.|
+| 480|[BlinkDL/ChatRWKV](https://github.com/BlinkDL/ChatRWKV)  |ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.|
| 481|[mshumer/gpt-prompt-engineer](https://github.com/mshumer/gpt-prompt-engineer) ||
| 482|[sashabaranov/go-openai](https://github.com/sashabaranov/go-openai) |OpenAI ChatGPT, GPT-3, GPT-4, DALL·E, Whisper API wrapper for Go|
| 483|[wandb/wandb](https://github.com/wandb/wandb) |🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.|
| 484|[burn-rs/burn](https://github.com/burn-rs/burn) |Burn - A Flexible and Comprehensive Deep Learning Framework in Rust|
-| 485|[bigscience-workshop/petals](https://github.com/bigscience-workshop/petals) |🌸 Run large language models at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading|
+| 485|[bigscience-workshop/petals](https://github.com/bigscience-workshop/petals) |🌸 Run large language models at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading|
| 486|[autowarefoundation/autoware](https://github.com/autowarefoundation/autoware) |Autoware - the world's leading open-source software project for autonomous driving|
| 487|[karpathy/minbpe](https://github.com/karpathy/minbpe) |Minimal, clean, code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.|
| 488|[dice2o/BingGPT](https://github.com/dice2o/BingGPT)  |Desktop application of new Bing's AI-powered chat (Windows, macOS and Linux)|
@@ -530,34 +530,34 @@
| 498|[OthersideAI/self-operating-computer](https://github.com/OthersideAI/self-operating-computer) |A framework to enable multimodal models to operate a computer.|
| 499|[RayTracing/raytracing.github.io](https://github.com/RayTracing/raytracing.github.io) |Main Web Site (Online Books)|
| 500|[togethercomputer/OpenChatKit](https://github.com/togethercomputer/OpenChatKit)  |OpenChatKit provides a powerful, open-source base to create both specialized and general purpose chatbots for various applications|
-| 501|[anthropics/anthropic-cookbook](https://github.com/anthropics/anthropic-cookbook) |A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.|
-| 502|[Visualize-ML/Book4_Power-of-Matrix](https://github.com/Visualize-ML/Book4_Power-of-Matrix) |Book_4 'Power of Matrix' |
-| 503|[Huanshere/VideoLingo](https://github.com/Huanshere/VideoLingo) |Netflix-level subtitle cutting, translation, alignment, and even dubbing - one-click fully automated AI video subtitle team |
-| 504|[marimo-team/marimo](https://github.com/marimo-team/marimo) |A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.|
+| 501|[anthropics/anthropic-cookbook](https://github.com/anthropics/anthropic-cookbook) |A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.|
+| 502|[Visualize-ML/Book4_Power-of-Matrix](https://github.com/Visualize-ML/Book4_Power-of-Matrix) |Book_4 'Power of Matrix' |
+| 503|[Huanshere/VideoLingo](https://github.com/Huanshere/VideoLingo) |Netflix-level subtitle cutting, translation, alignment, and even dubbing - one-click fully automated AI video subtitle team |
+| 504|[marimo-team/marimo](https://github.com/marimo-team/marimo) |A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.|
| 505|[Stability-AI/StableStudio](https://github.com/Stability-AI/StableStudio)  |Community interface for generative AI|
-| 506|[wasp-lang/open-saas](https://github.com/wasp-lang/open-saas) |A free, open-source SaaS app starter for React & Node.js with superpowers. Production-ready. Community-driven.|
+| 506|[wasp-lang/open-saas](https://github.com/wasp-lang/open-saas) |A free, open-source SaaS app starter for React & Node.js with superpowers. Production-ready. Community-driven.|
| 507|[voicepaw/so-vits-svc-fork](https://github.com/voicepaw/so-vits-svc-fork)  
|so-vits-svc fork with realtime support, improved interface and more features.|
| 508|[adams549659584/go-proxy-bingai](https://github.com/adams549659584/go-proxy-bingai)  
|A Microsoft New Bing demo site built with Vue3 and Go, providing a consistent UI experience, supporting ChatGPT prompts, and accessible within China|
| 509|[GoogleCloudPlatform/generative-ai](https://github.com/GoogleCloudPlatform/generative-ai) |Sample code and notebooks for Generative AI on Google Cloud|
| 510|[pymc-devs/pymc](https://github.com/pymc-devs/pymc) |Bayesian Modeling and Probabilistic Programming in Python|
-| 511|[jxnl/instructor](https://github.com/jxnl/instructor) |structured outputs for llms|
+| 511|[jxnl/instructor](https://github.com/jxnl/instructor) |structured outputs for llms|
| 512|[keephq/keep](https://github.com/keephq/keep) |The open-source alert management and AIOps platform|
-| 513|[UFund-Me/Qbot](https://github.com/UFund-Me/Qbot)  |Qbot is an AI-oriented quantitative investment platform, which aims to realize the potential, empower AI technologies in quantitative investment|
+| 513|[UFund-Me/Qbot](https://github.com/UFund-Me/Qbot)  |Qbot is an AI-oriented quantitative investment platform, which aims to realize the potential, empower AI technologies in quantitative investment|
| 514|[Const-me/Whisper](https://github.com/Const-me/Whisper) |High-performance GPGPU inference of OpenAI's Whisper automatic speech recognition (ASR) model|
| 515|[gorse-io/gorse](https://github.com/gorse-io/gorse) |Gorse open source recommender system engine|
| 516|[espnet/espnet](https://github.com/espnet/espnet) |End-to-End Speech Processing Toolkit|
-| 517|[lucidrains/denoising-diffusion-pytorch](https://github.com/lucidrains/denoising-diffusion-pytorch) |Implementation of Denoising Diffusion Probabilistic Model in Pytorch|
+| 517|[lucidrains/denoising-diffusion-pytorch](https://github.com/lucidrains/denoising-diffusion-pytorch) |Implementation of Denoising Diffusion Probabilistic Model in Pytorch|
| 518|[kedacore/keda](https://github.com/kedacore/keda) |KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes|
-| 519|[anthropics/courses](https://github.com/anthropics/courses) |Anthropic's educational courses|
+| 519|[anthropics/courses](https://github.com/anthropics/courses) |Anthropic's educational courses|
| 520|[brexhq/prompt-engineering](https://github.com/brexhq/prompt-engineering)  |Tips and tricks for working with Large Language Models like OpenAI's GPT-4.|
-| 521|[nashsu/FreeAskInternet](https://github.com/nashsu/FreeAskInternet) |FreeAskInternet is a completely free, private and locally running search aggregator & answer generate using LLM, without GPU needed. The user can ask a question and the system will make a multi engine search and combine the search result to the ChatGPT3.5 LLM and generate the answer based on search results.|
-| 522|[idootop/mi-gpt](https://github.com/idootop/mi-gpt) |? Transform XiaoAi speaker into a personal voice assistant with ChatGPT and DouBao integration.|
+| 521|[nashsu/FreeAskInternet](https://github.com/nashsu/FreeAskInternet) |FreeAskInternet is a completely free, private and locally running search aggregator & answer generate using LLM, without GPU needed. The user can ask a question and the system will make a multi engine search and combine the search result to the ChatGPT3.5 LLM and generate the answer based on search results.|
+| 522|[idootop/mi-gpt](https://github.com/idootop/mi-gpt) |? Transform XiaoAi speaker into a personal voice assistant with ChatGPT and DouBao integration.|
| 523|[erincatto/box2d](https://github.com/erincatto/box2d) |Box2D is a 2D physics engine for games|
| 524|[facebookresearch/ImageBind](https://github.com/facebookresearch/ImageBind)  |ImageBind One Embedding Space to Bind Them All|
| 525|[open-mmlab/mmsegmentation](https://github.com/open-mmlab/mmsegmentation) |OpenMMLab Semantic Segmentation Toolbox and Benchmark.|
-| 526|[LouisShark/chatgpt_system_prompt](https://github.com/LouisShark/chatgpt_system_prompt) |store all agent's system prompt|
+| 526|[LouisShark/chatgpt_system_prompt](https://github.com/LouisShark/chatgpt_system_prompt) |store all agent's system prompt|
| 527|[ashawkey/stable-dreamfusion](https://github.com/ashawkey/stable-dreamfusion)  |A pytorch implementation of text-to-3D dreamfusion, powered by stable diffusion.|
-| 528|[llmware-ai/llmware](https://github.com/llmware-ai/llmware) |Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.|
+| 528|[llmware-ai/llmware](https://github.com/llmware-ai/llmware) |Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.|
| 529|[meetecho/janus-gateway](https://github.com/meetecho/janus-gateway) |Janus WebRTC Server|
| 530|[OptimalScale/LMFlow](https://github.com/OptimalScale/LMFlow) |An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Model for All.|
| 531|[google/magika](https://github.com/google/magika) |Detect file content types with deep learning|
@@ -566,12 +566,12 @@
| 534|[fishaudio/Bert-VITS2](https://github.com/fishaudio/Bert-VITS2) |vits2 backbone with multilingual-bert|
| 535|[FlagOpen/FlagEmbedding](https://github.com/FlagOpen/FlagEmbedding) |Dense Retrieval and Retrieval-augmented LLMs|
| 536|[goldmansachs/gs-quant](https://github.com/goldmansachs/gs-quant) |Python toolkit for quantitative finance|
-| 537|[huggingface/lerobot](https://github.com/huggingface/lerobot) |🤗 LeRobot: State-of-the-art Machine Learning for Real-World Robotics in Pytorch|
+| 537|[huggingface/lerobot](https://github.com/huggingface/lerobot) |🤗 LeRobot: State-of-the-art Machine Learning for Real-World Robotics in Pytorch|
| 538|[jzhang38/TinyLlama](https://github.com/jzhang38/TinyLlama) |The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.|
| 539| [acheong08/EdgeGPT](https://github.com/acheong08/EdgeGPT)  |Reverse engineered API of Microsoft's Bing Chat |
| 540|[SJTU-IPADS/PowerInfer](https://github.com/SJTU-IPADS/PowerInfer) |High-speed Large Language Model Serving on PCs with Consumer-grade GPUs|
| 541| [anse-app/chatgpt-demo](https://github.com/anse-app/chatgpt-demo)  | A demo repo based on OpenAI API (gpt-3.5-turbo) |
-| 542|[open-mmlab/Amphion](https://github.com/open-mmlab/Amphion) |Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development.|
+| 542|[open-mmlab/Amphion](https://github.com/open-mmlab/Amphion) |Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development.|
| 543|[jasonppy/VoiceCraft](https://github.com/jasonppy/VoiceCraft) |Zero-Shot Speech Editing and Text-to-Speech in the Wild|
| 544|[o3de/o3de](https://github.com/o3de/o3de) |Open 3D Engine (O3DE) is an Apache 2.0-licensed multi-platform 3D engine that enables developers and content creators to build AAA games, cinema-quality 3D worlds, and high-fidelity simulations without any fees or commercial obligations.|
| 545|[sebastianstarke/AI4Animation](https://github.com/sebastianstarke/AI4Animation) |Bringing Characters to Life with Computer Brains in Unity|
@@ -580,93 +580,93 @@
| 548|[baptisteArno/typebot.io](https://github.com/baptisteArno/typebot.io) |💬 Typebot is a powerful chatbot builder that you can self-host.|
| 549|[01-ai/Yi](https://github.com/01-ai/Yi) |A series of large language models trained from scratch by developers @01-ai|
| 550|[kroma-network/tachyon](https://github.com/kroma-network/tachyon) |Modular ZK(Zero Knowledge) backend accelerated by GPU|
-| 551|[langchain-ai/langgraph](https://github.com/langchain-ai/langgraph) ||
-| 552|[getomni-ai/zerox](https://github.com/getomni-ai/zerox) |Zero shot pdf OCR with gpt-4o-mini|
+| 551|[langchain-ai/langgraph](https://github.com/langchain-ai/langgraph) ||
+| 552|[getomni-ai/zerox](https://github.com/getomni-ai/zerox) |Zero shot pdf OCR with gpt-4o-mini|
| 553|[Plachtaa/VALL-E-X](https://github.com/Plachtaa/VALL-E-X) |An open source implementation of Microsoft's VALL-E X zero-shot TTS model. The demo is available at https://plachtaa.github.io|
| 554|[xiangsx/gpt4free-ts](https://github.com/xiangsx/gpt4free-ts) |Providing a free OpenAI GPT-4 API ! This is a replication project for the typescript version of xtekky/gpt4free|
| 555|[ai-collection/ai-collection](https://github.com/ai-collection/ai-collection)  |The Generative AI Landscape - A Collection of Awesome Generative AI Applications|
| 556|[delta-io/delta](https://github.com/delta-io/delta) |An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs|
| 557|[deep-floyd/IF](https://github.com/deep-floyd/IF)  |A novel state-of-the-art open-source text-to-image model with a high degree of photorealism and language understanding|
| 558|[zmh-program/chatnio](https://github.com/zmh-program/chatnio) |🚀 Next Generation AI One-Stop Internationalization Solution. 🚀 下一代 AI 一站式 B/C 端解决方案，支持 OpenAI，Midjourney，Claude，讯飞星火，Stable Diffusion，DALL·E，ChatGLM，通义千问，腾讯混元，360 智脑，百川 AI，火山方舟，新必应，Gemini，Moonshot 等模型，支持对话分享，自定义预设，云端同步，模型市场，支持弹性计费和订阅计划模式，支持图片解析，支持联网搜索，支持模型缓存，丰富美观的后台管理与仪表盘数据统计。|
-| 559|[THUDM/CodeGeeX2](https://github.com/THUDM/CodeGeeX2) |CodeGeeX2: A More Powerful Multilingual Code Generation Model|
-| 560|[abhishekkrthakur/approachingalmost](https://github.com/abhishekkrthakur/approachingalmost) |Approaching (Almost) Any Machine Learning Problem|
+| 559|[abhishekkrthakur/approachingalmost](https://github.com/abhishekkrthakur/approachingalmost) |Approaching (Almost) Any Machine Learning Problem|
+| 560|[THUDM/CodeGeeX2](https://github.com/THUDM/CodeGeeX2) |CodeGeeX2: A More Powerful Multilingual Code Generation Model|
| 561|[CASIA-IVA-Lab/FastSAM](https://github.com/CASIA-IVA-Lab/FastSAM) |Fast Segment Anything|
| 562|[thuml/Time-Series-Library](https://github.com/thuml/Time-Series-Library) |A Library for Advanced Deep Time Series Models.|
-| 563|[langfuse/langfuse](https://github.com/langfuse/langfuse) |🪢 Open source LLM engineering platform. Observability, metrics, evals, prompt management, testing, prompt playground, datasets, LLM evaluations -- 🍊YC W23 🤖 integrate via Typescript, Python / Decorators, OpenAI, Langchain, LlamaIndex, Litellm, Instructor, Mistral, Perplexity, Claude, Gemini, Vertex|
+| 563|[langfuse/langfuse](https://github.com/langfuse/langfuse) |🪢 Open source LLM engineering platform. Observability, metrics, evals, prompt management, testing, prompt playground, datasets, LLM evaluations -- 🍊YC W23 🤖 integrate via Typescript, Python / Decorators, OpenAI, Langchain, LlamaIndex, Litellm, Instructor, Mistral, Perplexity, Claude, Gemini, Vertex|
| 564|[alibaba-damo-academy/FunASR](https://github.com/alibaba-damo-academy/FunASR) |A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models.|
| 565|[netease-youdao/EmotiVoice](https://github.com/netease-youdao/EmotiVoice) |EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine|
-| 566|[openvinotoolkit/openvino](https://github.com/openvinotoolkit/openvino) |OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference|
+| 566|[openvinotoolkit/openvino](https://github.com/openvinotoolkit/openvino) |OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference|
| 567|[Acly/krita-ai-diffusion](https://github.com/Acly/krita-ai-diffusion) |Streamlined interface for generating images with AI in Krita. Inpaint and outpaint with optional text prompt, no tweaking required.|
-| 568|[GreyDGL/PentestGPT](https://github.com/GreyDGL/PentestGPT)  |A GPT-empowered penetration testing tool|
+| 568|[GreyDGL/PentestGPT](https://github.com/GreyDGL/PentestGPT)  |A GPT-empowered penetration testing tool|
| 569|[ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide](https://github.com/ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide) |Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.|
| 570|[sweepai/sweep](https://github.com/sweepai/sweep) |Sweep is an AI junior developer|
| 571|[firmai/financial-machine-learning](https://github.com/firmai/financial-machine-learning) |A curated list of practical financial machine learning tools and applications.|
| 572|[lllyasviel/Omost](https://github.com/lllyasviel/Omost) |Your image is almost there!|
| 573|[reorproject/reor](https://github.com/reorproject/reor) |AI note-taking app that runs models locally.|
| 574|[openlm-research/open_llama](https://github.com/openlm-research/open_llama) |OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset|
-| 575|[enso-org/enso](https://github.com/enso-org/enso) |Hybrid visual and textual functional programming.|
+| 575|[enso-org/enso](https://github.com/enso-org/enso) |Hybrid visual and textual functional programming.|
| 576|[dair-ai/ML-Papers-Explained](https://github.com/dair-ai/ML-Papers-Explained) |Explanation to key concepts in ML|
-| 577|[EleutherAI/lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness) |A framework for few-shot evaluation of autoregressive language models.|
+| 577|[EleutherAI/lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness) |A framework for few-shot evaluation of autoregressive language models.|
| 578|[jina-ai/reader](https://github.com/jina-ai/reader) |Convert any URL to an LLM-friendly input with a simple prefix https://r.jina.ai/|
| 579|[bigcode-project/starcoder](https://github.com/bigcode-project/starcoder)  |Home of StarCoder: fine-tuning & inference!|
| 580|[zilliztech/GPTCache](https://github.com/zilliztech/GPTCache)  |GPTCache is a library for creating semantic cache to store responses from LLM queries.|
-| 581|[adam-maj/tiny-gpu](https://github.com/adam-maj/tiny-gpu) |A minimal GPU design in Verilog to learn how GPUs work from the ground up|
-| 582|[OpenBMB/MiniCPM](https://github.com/OpenBMB/MiniCPM) |MiniCPM-2B: An end-side LLM outperforms Llama2-13B.|
-| 583|[e2b-dev/e2b](https://github.com/e2b-dev/e2b)  |Vercel for AI agents. We help developers to build, deploy, and monitor AI agents. Focusing on specialized AI agents that build software for you - your personal software developers.|
-| 584|[lllyasviel/IC-Light](https://github.com/lllyasviel/IC-Light) |More relighting!|
-| 585|[bunkerity/bunkerweb](https://github.com/bunkerity/bunkerweb) |🛡️ Make your web services secure by default !|
+| 581|[adam-maj/tiny-gpu](https://github.com/adam-maj/tiny-gpu) |A minimal GPU design in Verilog to learn how GPUs work from the ground up|
+| 582|[OpenBMB/MiniCPM](https://github.com/OpenBMB/MiniCPM) |MiniCPM-2B: An end-side LLM outperforms Llama2-13B.|
+| 583|[e2b-dev/e2b](https://github.com/e2b-dev/e2b)  |Vercel for AI agents. We help developers to build, deploy, and monitor AI agents. Focusing on specialized AI agents that build software for you - your personal software developers.|
+| 584|[lllyasviel/IC-Light](https://github.com/lllyasviel/IC-Light) |More relighting!|
+| 585|[bunkerity/bunkerweb](https://github.com/bunkerity/bunkerweb) |🛡️ Make your web services secure by default !|
| 586|[LiheYoung/Depth-Anything](https://github.com/LiheYoung/Depth-Anything) |Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data|
| 587|[ymcui/Chinese-LLaMA-Alpaca-2](https://github.com/ymcui/Chinese-LLaMA-Alpaca-2) |Chinese LLaMA-2 & Alpaca-2 LLMs|
| 588|[IDEA-Research/GroundingDINO](https://github.com/IDEA-Research/GroundingDINO) |Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"|
| 589|[jrouwe/JoltPhysics](https://github.com/jrouwe/JoltPhysics) |A multi core friendly rigid body physics and collision detection library. Written in C++. Suitable for games and VR applications. Used by Horizon Forbidden West.|
| 590|[git-ecosystem/git-credential-manager](https://github.com/git-ecosystem/git-credential-manager) |Secure, cross-platform Git credential storage with authentication to GitHub, Azure Repos, and other popular Git hosting services.|
| 591|[PWhiddy/PokemonRedExperiments](https://github.com/PWhiddy/PokemonRedExperiments) |Playing Pokemon Red with Reinforcement Learning|
-| 592|[sgl-project/sglang](https://github.com/sgl-project/sglang) |SGLang is a structured generation language designed for large language models (LLMs). It makes your interaction with LLMs faster and more controllable.|
-| 593|[WooooDyy/LLM-Agent-Paper-List](https://github.com/WooooDyy/LLM-Agent-Paper-List) |The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.|
+| 592|[sgl-project/sglang](https://github.com/sgl-project/sglang) |SGLang is a structured generation language designed for large language models (LLMs). It makes your interaction with LLMs faster and more controllable.|
+| 593|[WooooDyy/LLM-Agent-Paper-List](https://github.com/WooooDyy/LLM-Agent-Paper-List) |The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.|
| 594|[PKU-YuanGroup/ChatLaw](https://github.com/PKU-YuanGroup/ChatLaw) |Chinese Legal Large Model|
| 595|[bhaskatripathi/pdfGPT](https://github.com/bhaskatripathi/pdfGPT)  |PDF GPT allows you to chat with the contents of your PDF file by using GPT capabilities. The only open source solution to turn your pdf files in a chatbot!|
| 596|[open-mmlab/mmagic](https://github.com/open-mmlab/mmagic)  |OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox|
| 597|[jaywalnut310/vits](https://github.com/jaywalnut310/vits)  |VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech|
-| 598|[niedev/RTranslator](https://github.com/niedev/RTranslator) |RTranslator is the world's first open source real-time translation app.|
+| 598|[niedev/RTranslator](https://github.com/niedev/RTranslator) |RTranslator is the world's first open source real-time translation app.|
| 599|[apple/corenet](https://github.com/apple/corenet) |CoreNet: A library for training deep neural networks|
| 600|[nadermx/backgroundremover](https://github.com/nadermx/backgroundremover)  |Background Remover lets you Remove Background from images and video using AI with a simple command line interface that is free and open source.|
-| 601|[AbdullahAlfaraj/Auto-Photoshop-StableDiffusion-Plugin](https://github.com/AbdullahAlfaraj/Auto-Photoshop-StableDiffusion-Plugin)  |A user-friendly plug-in that makes it easy to generate stable diffusion images inside Photoshop using Automatic1111-sd-webui as a backend.|
+| 601|[AbdullahAlfaraj/Auto-Photoshop-StableDiffusion-Plugin](https://github.com/AbdullahAlfaraj/Auto-Photoshop-StableDiffusion-Plugin)  |A user-friendly plug-in that makes it easy to generate stable diffusion images inside Photoshop using Automatic1111-sd-webui as a backend.|
| 602|[lencx/Noi](https://github.com/lencx/Noi) |🦄 AI + Tools + Plugins + Community|
| 603|[intel-analytics/ipex-llm](https://github.com/intel-analytics/ipex-llm) |Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, etc.) on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max). A PyTorch LLM library that seamlessly integrates with llama.cpp, HuggingFace, LangChain, LlamaIndex, DeepSpeed, vLLM, FastChat, ModelScope, etc.|
-| 604|[udlbook/udlbook](https://github.com/udlbook/udlbook) |Understanding Deep Learning - Simon J.D. Prince|
+| 604|[udlbook/udlbook](https://github.com/udlbook/udlbook) |Understanding Deep Learning - Simon J.D. Prince|
| 605|[OpenTalker/video-retalking](https://github.com/OpenTalker/video-retalking) |[SIGGRAPH Asia 2022] VideoReTalking: Audio-based Lip Synchronization for Talking Head Video Editing In the Wild|
-| 606|[getmaxun/maxun](https://github.com/getmaxun/maxun) |🔥 Open-source no-code web data extraction platform. Turn websites to APIs and spreadsheets with no-code robots in minutes! [In Beta]|
+| 606|[getmaxun/maxun](https://github.com/getmaxun/maxun) |🔥 Open-source no-code web data extraction platform. Turn websites to APIs and spreadsheets with no-code robots in minutes! [In Beta]|
| 607|[geekyutao/Inpaint-Anything](https://github.com/geekyutao/Inpaint-Anything)  |Inpaint anything using Segment Anything and inpainting models.|
| 608|[mit-han-lab/streaming-llm](https://github.com/mit-han-lab/streaming-llm) |Efficient Streaming Language Models with Attention Sinks|
-| 609|[Portkey-AI/gateway](https://github.com/Portkey-AI/gateway) |A Blazing Fast AI Gateway. Route to 100+ LLMs with 1 fast & friendly API.|
+| 609|[Portkey-AI/gateway](https://github.com/Portkey-AI/gateway) |A Blazing Fast AI Gateway. Route to 100+ LLMs with 1 fast & friendly API.|
| 610|[rany2/edge-tts](https://github.com/rany2/edge-tts) |Use Microsoft Edge's online text-to-speech service from Python WITHOUT needing Microsoft Edge or Windows or an API key|
-| 611|[modelscope/DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio) |Enjoy the magic of Diffusion models!|
-| 612|[Future-House/paper-qa](https://github.com/Future-House/paper-qa) |High accuracy RAG for answering questions from scientific documents with citations|
+| 611|[modelscope/DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio) |Enjoy the magic of Diffusion models!|
+| 612|[Future-House/paper-qa](https://github.com/Future-House/paper-qa) |High accuracy RAG for answering questions from scientific documents with citations|
| 613|[react-native-webview/react-native-webview](https://github.com/react-native-webview/react-native-webview) |React Native Cross-Platform WebView|
-| 614|[facebookresearch/DiT](https://github.com/facebookresearch/DiT) |Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"|
+| 614|[facebookresearch/DiT](https://github.com/facebookresearch/DiT) |Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"|
| 615|[OpenGVLab/InternVL](https://github.com/OpenGVLab/InternVL) |[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4V. 接近GPT-4V表现的可商用开源模型|
| 616|[spdustin/ChatGPT-AutoExpert](https://github.com/spdustin/ChatGPT-AutoExpert) |🚀🧠💬 Supercharged Custom Instructions for ChatGPT (non-coding) and ChatGPT Advanced Data Analysis (coding).|
| 617|[InternLM/InternLM](https://github.com/InternLM/InternLM) |InternLM has open-sourced a 7 billion parameter base model, a chat model tailored for practical scenarios and the training system.|
| 618|[jeremylong/DependencyCheck](https://github.com/jeremylong/DependencyCheck) |OWASP dependency-check is a software composition analysis utility that detects publicly disclosed vulnerabilities in application dependencies.|
| 619|[openstatusHQ/openstatus](https://github.com/openstatusHQ/openstatus) |🏓 The open-source synthetic monitoring platform 🏓|
| 620|[gunnarmorling/1brc](https://github.com/gunnarmorling/1brc) |1️⃣🐝🏎️ The One Billion Row Challenge -- A fun exploration of how quickly 1B rows from a text file can be aggregated with Java|
-| 621|[mylxsw/aidea](https://github.com/mylxsw/aidea) |AIdea is a versatile app that supports GPT and domestic large language models，also supports "Stable Diffusion" text-to-image generation, image-to-image generation, SDXL 1.0, super-resolution, and image colorization|
-| 622|[miurla/morphic](https://github.com/miurla/morphic) |An AI-powered answer engine with a generative UI|
+| 621|[mylxsw/aidea](https://github.com/mylxsw/aidea) |AIdea is a versatile app that supports GPT and domestic large language models，also supports "Stable Diffusion" text-to-image generation, image-to-image generation, SDXL 1.0, super-resolution, and image colorization|
+| 622|[miurla/morphic](https://github.com/miurla/morphic) |An AI-powered answer engine with a generative UI|
| 623|[kuafuai/DevOpsGPT](https://github.com/kuafuai/DevOpsGPT) |Multi agent system for AI-driven software development. Convert natural language requirements into working software. Supports any development language and extends the existing base code.|
| 624|[gaomingqi/Track-Anything](https://github.com/gaomingqi/Track-Anything)  |A flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.|
| 625|[FoundationVision/VAR](https://github.com/FoundationVision/VAR) |[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction"|
-| 626|[weaviate/Verba](https://github.com/weaviate/Verba) |Retrieval Augmented Generation (RAG) chatbot powered by Weaviate|
+| 626|[weaviate/Verba](https://github.com/weaviate/Verba) |Retrieval Augmented Generation (RAG) chatbot powered by Weaviate|
| 627|[langchain-ai/opengpts](https://github.com/langchain-ai/opengpts) |This is an open source effort to create a similar experience to OpenAI's GPTs and Assistants API|
-| 628|[meshery/meshery](https://github.com/meshery/meshery) |Meshery, the cloud native manager|
-| 629|[Azure-Samples/azure-search-openai-demo](https://github.com/Azure-Samples/azure-search-openai-demo)  |A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.|
-| 630|[bytedance/monolith](https://github.com/bytedance/monolith) |ByteDance's Recommendation System|
-| 631|[qunash/chatgpt-advanced](https://github.com/qunash/chatgpt-advanced)  | A browser extension that augments your ChatGPT prompts with web results.|
-| 632|[ml-explore/mlx-examples](https://github.com/ml-explore/mlx-examples) |Examples in the MLX framework|
+| 628|[meshery/meshery](https://github.com/meshery/meshery) |Meshery, the cloud native manager|
+| 629|[bytedance/monolith](https://github.com/bytedance/monolith) |ByteDance's Recommendation System|
+| 630|[Azure-Samples/azure-search-openai-demo](https://github.com/Azure-Samples/azure-search-openai-demo)  |A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.|
+| 631|[qunash/chatgpt-advanced](https://github.com/qunash/chatgpt-advanced)  | A browser extension that augments your ChatGPT prompts with web results.|
+| 632|[ml-explore/mlx-examples](https://github.com/ml-explore/mlx-examples) |Examples in the MLX framework|
| 633|[jianchang512/ChatTTS-ui](https://github.com/jianchang512/ChatTTS-ui) |一个简单的本地网页界面，直接使用ChatTTS将文字合成为语音，同时支持对外提供API接口。|
| 634|[Licoy/ChatGPT-Midjourney](https://github.com/Licoy/ChatGPT-Midjourney) |🎨 Own your own ChatGPT+Midjourney web service with one click|
| 635|[threestudio-project/threestudio](https://github.com/threestudio-project/threestudio) |A unified framework for 3D content generation.|
| 636|[linyiLYi/street-fighter-ai](https://github.com/linyiLYi/street-fighter-ai)  |This is an AI agent for Street Fighter II Champion Edition.|
-| 637| [yihong0618/xiaogpt](https://github.com/yihong0618/xiaogpt)  | Play ChatGPT with xiaomi ai speaker |
+| 637| [yihong0618/xiaogpt](https://github.com/yihong0618/xiaogpt)  | Play ChatGPT with xiaomi ai speaker |
| 638|[run-llama/rags](https://github.com/run-llama/rags) |Build ChatGPT over your data, all with natural language|
| 639|[digitalinnovationone/dio-lab-open-source](https://github.com/digitalinnovationone/dio-lab-open-source) |Repositório do lab "Contribuindo em um Projeto Open Source no GitHub" da Digital Innovation One.|
| 640| [civitai/civitai](https://github.com/civitai/civitai)  | Build a platform where people can share their stable diffusion models |
@@ -696,14 +696,14 @@
| 664|[clovaai/donut](https://github.com/clovaai/donut)  |Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022|
| 665|[SevaSk/ecoute](https://github.com/SevaSk/ecoute)  |Ecoute is a live transcription tool that provides real-time transcripts for both the user's microphone input (You) and the user's speakers output (Speaker) in a textbox. It also generates a suggested response using OpenAI's GPT-3.5 for the user to say based on the live transcription of the conversation.|
| 666|[vespa-engine/vespa](https://github.com/vespa-engine/vespa) |The open big data serving engine. https://vespa.ai|
-| 667|[vladmandic/automatic](https://github.com/vladmandic/automatic) |SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models|
-| 668|[yamadashy/repomix](https://github.com/yamadashy/repomix) |📦 Repomix (formerly Repopack) is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools like Claude, ChatGPT, and Gemini.|
-| 669|[pengxiao-song/LaWGPT](https://github.com/pengxiao-song/LaWGPT)  |Repo for LaWGPT, Chinese-Llama tuned with Chinese Legal knowledge|
+| 667|[yamadashy/repomix](https://github.com/yamadashy/repomix) |📦 Repomix (formerly Repopack) is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools like Claude, ChatGPT, and Gemini.|
+| 668|[vladmandic/automatic](https://github.com/vladmandic/automatic) |SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models|
+| 669|[pengxiao-song/LaWGPT](https://github.com/pengxiao-song/LaWGPT)  |Repo for LaWGPT, Chinese-Llama tuned with Chinese Legal knowledge|
| 670|[xorbitsai/inference](https://github.com/xorbitsai/inference) |Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with any open-source language models, speech recognition models, and multimodal models, whether in the cloud, on-premises, or even on your laptop.|
| 671|[open-metadata/OpenMetadata](https://github.com/open-metadata/OpenMetadata) |OpenMetadata is a unified platform for discovery, observability, and governance powered by a central metadata repository, in-depth lineage, and seamless team collaboration.|
| 672|[sczhou/ProPainter](https://github.com/sczhou/ProPainter) |[ICCV 2023] ProPainter: Improving Propagation and Transformer for Video Inpainting|
-| 673|[OpenGVLab/LLaMA-Adapter](https://github.com/OpenGVLab/LLaMA-Adapter)  |Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters|
-| 674|[ethereum-optimism/optimism](https://github.com/ethereum-optimism/optimism) |Optimism is Ethereum, scaled.|
+| 673|[ethereum-optimism/optimism](https://github.com/ethereum-optimism/optimism) |Optimism is Ethereum, scaled.|
+| 674|[OpenGVLab/LLaMA-Adapter](https://github.com/OpenGVLab/LLaMA-Adapter)  |Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters|
| 675|[lavague-ai/LaVague](https://github.com/lavague-ai/LaVague) |Automate automation with Large Action Model framework|
| 676|[a16z-infra/companion-app](https://github.com/a16z-infra/companion-app) |AI companions with memory: a lightweight stack to create and host your own AI companions|
| 677|[MineDojo/Voyager](https://github.com/MineDojo/Voyager)  |An Open-Ended Embodied Agent with Large Language Models|
@@ -711,70 +711,70 @@
| 679|[fr0gger/Awesome-GPT-Agents](https://github.com/fr0gger/Awesome-GPT-Agents) |A curated list of GPT agents for cybersecurity|
| 680|[google/mesop](https://github.com/google/mesop) ||
| 681|[onuratakan/gpt-computer-assistant](https://github.com/onuratakan/gpt-computer-assistant) |gpt-4o for windows, macos and ubuntu|
-| 682|[firebase/firebase-ios-sdk](https://github.com/firebase/firebase-ios-sdk) |Firebase SDK for Apple App Development|
-| 683|[nilsherzig/LLocalSearch](https://github.com/nilsherzig/LLocalSearch) |LLocalSearch is a completely locally running search aggregator using LLM Agents. The user can ask a question and the system will use a chain of LLMs to find the answer. The user can see the progress of the agents and the final answer. No OpenAI or Google API keys are needed.|
+| 682|[firebase/firebase-ios-sdk](https://github.com/firebase/firebase-ios-sdk) |Firebase SDK for Apple App Development|
+| 683|[nilsherzig/LLocalSearch](https://github.com/nilsherzig/LLocalSearch) |LLocalSearch is a completely locally running search aggregator using LLM Agents. The user can ask a question and the system will use a chain of LLMs to find the answer. The user can see the progress of the agents and the final answer. No OpenAI or Google API keys are needed.|
| 684|[pytorch-labs/gpt-fast](https://github.com/pytorch-labs/gpt-fast) |Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.|
-| 685|[modelscope/agentscope](https://github.com/modelscope/agentscope) |Start building LLM-empowered multi-agent applications in an easier way.|
+| 685|[modelscope/agentscope](https://github.com/modelscope/agentscope) |Start building LLM-empowered multi-agent applications in an easier way.|
| 686|[roboflow/notebooks](https://github.com/roboflow/notebooks) |Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.|
| 687|[ramonvc/freegpt-webui](https://github.com/ramonvc/freegpt-webui) |GPT 3.5/4 with a Chat Web UI. No API key is required.|
-| 688|[HumanAIGC/OutfitAnyone](https://github.com/HumanAIGC/OutfitAnyone) |Outfit Anyone: Ultra-high quality virtual try-on for Any Clothing and Any Person|
+| 688|[HumanAIGC/OutfitAnyone](https://github.com/HumanAIGC/OutfitAnyone) |Outfit Anyone: Ultra-high quality virtual try-on for Any Clothing and Any Person|
| 689|[Dooy/chatgpt-web-midjourney-proxy](https://github.com/Dooy/chatgpt-web-midjourney-proxy) |chatgpt web, midjourney, gpts,tts, whisper 一套ui全搞定|
| 690| [nsarrazin/serge](https://github.com/nsarrazin/serge)  | A web interface for chatting with Alpaca through llama.cpp. Fully dockerized, with an easy to use API|
| 691|[baichuan-inc/baichuan-7B](https://github.com/baichuan-inc/baichuan-7B) |A large-scale 7B pretraining language model developed by BaiChuan-Inc.|
-| 692|[PawanOsman/ChatGPT](https://github.com/PawanOsman/ChatGPT) |OpenAI API Free Reverse Proxy|
-| 693|[ollama/ollama-python](https://github.com/ollama/ollama-python) |Ollama Python library|
+| 692|[PawanOsman/ChatGPT](https://github.com/PawanOsman/ChatGPT) |OpenAI API Free Reverse Proxy|
+| 693|[ollama/ollama-python](https://github.com/ollama/ollama-python) |Ollama Python library|
| 694|[Azure/azure-sdk-for-net](https://github.com/Azure/azure-sdk-for-net) |This repository is for active development of the Azure SDK for .NET. For consumers of the SDK we recommend visiting our public developer docs at https://learn.microsoft.com/dotnet/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-net.|
-| 695|[google-deepmind/graphcast](https://github.com/google-deepmind/graphcast) ||
+| 695|[google-deepmind/graphcast](https://github.com/google-deepmind/graphcast) ||
| 696| [yetone/bob-plugin-openai-translator](https://github.com/yetone/bob-plugin-openai-translator)  | A Bob Plugin base ChatGPT API |
-| 697|[srbhr/Resume-Matcher](https://github.com/srbhr/Resume-Matcher) |Open Source Free ATS Tool to compare Resumes with Job Descriptions and create a score to rank them.|
+| 697|[srbhr/Resume-Matcher](https://github.com/srbhr/Resume-Matcher) |Open Source Free ATS Tool to compare Resumes with Job Descriptions and create a score to rank them.|
| 698|[apache/hudi](https://github.com/apache/hudi) |Upserts, Deletes And Incremental Processing on Big Data.|
| 699|[ai-boost/awesome-prompts](https://github.com/ai-boost/awesome-prompts) |Curated list of chatgpt prompts from the top-rated GPTs in the GPTs Store. Prompt Engineering, prompt attack & prompt protect. Advanced Prompt Engineering papers.|
| 700|[648540858/wvp-GB28181-pro](https://github.com/648540858/wvp-GB28181-pro) |WEB VIDEO PLATFORM是一个基于GB28181-2016标准实现的网络视频平台，支持NAT穿透，支持海康、大华、宇视等品牌的IPC、NVR、DVR接入。支持国标级联，支持rtsp/rtmp等视频流转发到国标平台，支持rtsp/rtmp等推流转发到国标平台。|
| 701|[microsoft/promptbase](https://github.com/microsoft/promptbase) |All things prompt engineering|
| 702|[SkalskiP/courses](https://github.com/SkalskiP/courses)  |This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)|
-| 703|[ToonCrafter/ToonCrafter](https://github.com/ToonCrafter/ToonCrafter) |a research paper for generative cartoon interpolation|
+| 703|[ToonCrafter/ToonCrafter](https://github.com/ToonCrafter/ToonCrafter) |a research paper for generative cartoon interpolation|
| 704|[josStorer/RWKV-Runner](https://github.com/josStorer/RWKV-Runner) |A RWKV management and startup tool, full automation, only 8MB. And provides an interface compatible with the OpenAI API. RWKV is a large language model that is fully open source and available for commercial use.|
| 705|[homanp/superagent](https://github.com/homanp/superagent) |🥷 Superagent - Build, deploy, and manage LLM-powered agents|
-| 706|[microsoft/TaskWeaver](https://github.com/microsoft/TaskWeaver) |A code-first agent framework for seamlessly planning and executing data analytics tasks.|
+| 706|[microsoft/TaskWeaver](https://github.com/microsoft/TaskWeaver) |A code-first agent framework for seamlessly planning and executing data analytics tasks.|
| 707|[fullstackhero/dotnet-starter-kit](https://github.com/fullstackhero/dotnet-starter-kit) |Production Grade Cloud-Ready .NET 8 Starter Kit (Web API + Blazor Client) with Multitenancy Support, and Clean/Modular Architecture that saves roughly 200+ Development Hours! All Batteries Included.|
| 708|[PrefectHQ/marvin](https://github.com/PrefectHQ/marvin)  |A batteries-included library for building AI-powered software|
| 709|[aiwaves-cn/agents](https://github.com/aiwaves-cn/agents) |An Open-source Framework for Autonomous Language Agents|
-| 710|[google/gemma_pytorch](https://github.com/google/gemma_pytorch) |The official PyTorch implementation of Google's Gemma models|
-| 711|[mnotgod96/AppAgent](https://github.com/mnotgod96/AppAgent) |AppAgent: Multimodal Agents as Smartphone Users, an LLM-based multimodal agent framework designed to operate smartphone apps.|
+| 710|[google/gemma_pytorch](https://github.com/google/gemma_pytorch) |The official PyTorch implementation of Google's Gemma models|
+| 711|[mnotgod96/AppAgent](https://github.com/mnotgod96/AppAgent) |AppAgent: Multimodal Agents as Smartphone Users, an LLM-based multimodal agent framework designed to operate smartphone apps.|
| 712|[dsdanielpark/Bard-API](https://github.com/dsdanielpark/Bard-API)  |The python package that returns a response of Google Bard through API.|
-| 713|[frdel/agent-zero](https://github.com/frdel/agent-zero) |Agent Zero AI framework|
+| 713|[frdel/agent-zero](https://github.com/frdel/agent-zero) |Agent Zero AI framework|
| 714|[tmc/langchaingo](https://github.com/tmc/langchaingo) |LangChain for Go, the easiest way to write LLM-based programs in Go|
| 715|[imoneoi/openchat](https://github.com/imoneoi/openchat) |OpenChat: Advancing Open-source Language Models with Imperfect Data|
| 716|[mosaicml/composer](https://github.com/mosaicml/composer) |Train neural networks up to 7x faster|
| 717|[openchatai/OpenChat](https://github.com/openchatai/OpenChat)  |Run and create custom ChatGPT-like bots with OpenChat, embed and share these bots anywhere, the open-source chatbot console.|
| 718|[biobootloader/wolverine](https://github.com/biobootloader/wolverine)  |Automatically repair python scripts through GPT-4 to give them regenerative abilities.|
-| 719|[microsoft/TinyTroupe](https://github.com/microsoft/TinyTroupe) |LLM-powered multiagent persona simulation for imagination enhancement and business insights.|
+| 719|[microsoft/TinyTroupe](https://github.com/microsoft/TinyTroupe) |LLM-powered multiagent persona simulation for imagination enhancement and business insights.|
| 720|[lxfater/inpaint-web](https://github.com/lxfater/inpaint-web) |A free and open-source inpainting & image-upscaling tool powered by webgpu and wasm on the browser。|
| 721|[myshell-ai/MeloTTS](https://github.com/myshell-ai/MeloTTS) |High-quality multi-lingual text-to-speech library by MyShell.ai. Support English, Spanish, French, Chinese, Japanese and Korean.|
| 722|[openchatai/OpenCopilot](https://github.com/openchatai/OpenCopilot) |🤖 🔥 Let your users chat with your product features and execute things by text - open source Shopify sidekick|
-| 723|[microsoft/SynapseML](https://github.com/microsoft/SynapseML) |Simple and Distributed Machine Learning|
-| 724|[Permify/permify](https://github.com/Permify/permify) |An open-source authorization as a service inspired by Google Zanzibar, designed to build and manage fine-grained and scalable authorization systems for any application.|
-| 725|[DrewThomasson/ebook2audiobook](https://github.com/DrewThomasson/ebook2audiobook) |Convert ebooks to audiobooks with chapters and metadata using dynamic AI models and voice cloning. Supports 1,107+ languages!|
+| 723|[microsoft/SynapseML](https://github.com/microsoft/SynapseML) |Simple and Distributed Machine Learning|
+| 724|[DrewThomasson/ebook2audiobook](https://github.com/DrewThomasson/ebook2audiobook) |Convert ebooks to audiobooks with chapters and metadata using dynamic AI models and voice cloning. Supports 1,107+ languages!|
+| 725|[Permify/permify](https://github.com/Permify/permify) |An open-source authorization as a service inspired by Google Zanzibar, designed to build and manage fine-grained and scalable authorization systems for any application.|
| 726|[aigc-apps/sd-webui-EasyPhoto](https://github.com/aigc-apps/sd-webui-EasyPhoto) |📷 EasyPhoto |
| 727|[OpenInterpreter/01](https://github.com/OpenInterpreter/01) |The open-source language model computer|
| 728|[OpenGVLab/DragGAN](https://github.com/OpenGVLab/DragGAN) |Unofficial Implementation of DragGAN - "Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold" （DragGAN 全功能实现，在线Demo，本地部署试用，代码、模型已全部开源，支持Windows, macOS, Linux）|
| 729| [mpociot/chatgpt-vscode](https://github.com/mpociot/chatgpt-vscode)  | A VSCode extension that allows you to use ChatGPT |
-| 730|[apify/crawlee-python](https://github.com/apify/crawlee-python) |Crawlee—A web scraping and browser automation library for Python to build reliable crawlers. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with BeautifulSoup, Playwright, and raw HTTP. Both headful and headless mode. With proxy rotation.|
+| 730|[apify/crawlee-python](https://github.com/apify/crawlee-python) |Crawlee—A web scraping and browser automation library for Python to build reliable crawlers. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with BeautifulSoup, Playwright, and raw HTTP. Both headful and headless mode. With proxy rotation.|
| 731|[allenai/OLMo](https://github.com/allenai/OLMo) |Modeling, training, eval, and inference code for OLMo|
| 732|[ChaoningZhang/MobileSAM](https://github.com/ChaoningZhang/MobileSAM) |This is the official code for Faster Segment Anything (MobileSAM) project that makes SAM lightweight|
| 733|[leanprover/lean4](https://github.com/leanprover/lean4) |Lean 4 programming language and theorem prover|
| 734|[OpenBMB/ToolBench](https://github.com/OpenBMB/ToolBench) |An open platform for training, serving, and evaluating large language model for tool learning.|
-| 735|[alpkeskin/mosint](https://github.com/alpkeskin/mosint) |An automated e-mail OSINT tool|
+| 735|[alpkeskin/mosint](https://github.com/alpkeskin/mosint) |An automated e-mail OSINT tool|
| 736|[AILab-CVC/YOLO-World](https://github.com/AILab-CVC/YOLO-World) |Real-Time Open-Vocabulary Object Detection|
-| 737|[xxlong0/Wonder3D](https://github.com/xxlong0/Wonder3D) |A cross-domain diffusion model for 3D reconstruction from a single image|
-| 738|[SuperDuperDB/superduperdb](https://github.com/SuperDuperDB/superduperdb) |🔮 SuperDuperDB: Bring AI to your database: Integrate, train and manage any AI models and APIs directly with your database and your data.|
-| 739|[modelscope/swift](https://github.com/modelscope/swift) |ms-swift: Use PEFT or Full-parameter to finetune 200+ LLMs or 15+ MLLMs|
+| 737|[modelscope/swift](https://github.com/modelscope/swift) |ms-swift: Use PEFT or Full-parameter to finetune 200+ LLMs or 15+ MLLMs|
+| 738|[xxlong0/Wonder3D](https://github.com/xxlong0/Wonder3D) |A cross-domain diffusion model for 3D reconstruction from a single image|
+| 739|[SuperDuperDB/superduperdb](https://github.com/SuperDuperDB/superduperdb) |🔮 SuperDuperDB: Bring AI to your database: Integrate, train and manage any AI models and APIs directly with your database and your data.|
| 740|[lvwzhen/law-cn-ai](https://github.com/lvwzhen/law-cn-ai)  
|⚖️ AI Legal Assistant|
| 741|[huggingface/alignment-handbook](https://github.com/huggingface/alignment-handbook) |Robust recipes for to align language models with human and AI preferences|
| 742|[huggingface/parler-tts](https://github.com/huggingface/parler-tts) |Inference and training library for high-quality TTS models.|
| 743|[QuivrHQ/MegaParse](https://github.com/QuivrHQ/MegaParse) |File Parser optimised for LLM Ingestion with no loss 🧠 Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.|
-| 744|[pydantic/pydantic-ai](https://github.com/pydantic/pydantic-ai) |Agent Framework / shim to use Pydantic with LLMs|
-| 745|[qiuyu96/CoDeF](https://github.com/qiuyu96/CoDeF) |Official PyTorch implementation of CoDeF: Content Deformation Fields for Temporally Consistent Video Processing|
+| 744|[pydantic/pydantic-ai](https://github.com/pydantic/pydantic-ai) |Agent Framework / shim to use Pydantic with LLMs|
+| 745|[qiuyu96/CoDeF](https://github.com/qiuyu96/CoDeF) |Official PyTorch implementation of CoDeF: Content Deformation Fields for Temporally Consistent Video Processing|
| 746|[GaiaNet-AI/gaianet-node](https://github.com/GaiaNet-AI/gaianet-node) |Install and run your own AI agent service|
| 747|[microsoft/Mastering-GitHub-Copilot-for-Paired-Programming](https://github.com/microsoft/Mastering-GitHub-Copilot-for-Paired-Programming) |A 6 Lesson course teaching everything you need to know about harnessing GitHub Copilot and an AI Paired Programing resource.|
| 748|[fudan-generative-vision/champ](https://github.com/fudan-generative-vision/champ) |Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance|
@@ -793,14 +793,14 @@
| 761|[n8n-io/self-hosted-ai-starter-kit](https://github.com/n8n-io/self-hosted-ai-starter-kit) |The Self-hosted AI Starter Kit is an open-source template that quickly sets up a local AI environment. Curated by n8n, it provides essential tools for creating secure, self-hosted AI workflows.|
| 762|[togethercomputer/RedPajama-Data](https://github.com/togethercomputer/RedPajama-Data)  |code for preparing large datasets for training large language models|
| 763|[facebookincubator/AITemplate](https://github.com/facebookincubator/AITemplate)  |AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.|
-| 764|[asg017/sqlite-vec](https://github.com/asg017/sqlite-vec) |Work-in-progress vector search SQLite extension that runs anywhere.|
+| 764|[asg017/sqlite-vec](https://github.com/asg017/sqlite-vec) |Work-in-progress vector search SQLite extension that runs anywhere.|
| 765|[pytorch/torchtune](https://github.com/pytorch/torchtune) |A Native-PyTorch Library for LLM Fine-tuning|
| 766|[1rgs/jsonformer](https://github.com/1rgs/jsonformer)  |A Bulletproof Way to Generate Structured JSON from Language Models|
| 767|[livekit/agents](https://github.com/livekit/agents) |Build real-time multimodal AI applications 🤖🎙️📹|
| 768|[terraform-aws-modules/terraform-aws-eks](https://github.com/terraform-aws-modules/terraform-aws-eks) |Terraform module to create AWS Elastic Kubernetes (EKS) resources 🇺🇦|
| 769|[Fanghua-Yu/SUPIR](https://github.com/Fanghua-Yu/SUPIR) |SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild|
-| 770|[build-trust/ockam](https://github.com/build-trust/ockam) |Orchestrate end-to-end encryption, cryptographic identities, mutual authentication, and authorization policies between distributed applications – at massive scale.|
-| 771|[sanchit-gandhi/whisper-jax](https://github.com/sanchit-gandhi/whisper-jax)  |Optimised JAX code for OpenAI's Whisper Model, largely built on the Hugging Face Transformers Whisper implementation|
+| 770|[build-trust/ockam](https://github.com/build-trust/ockam) |Orchestrate end-to-end encryption, cryptographic identities, mutual authentication, and authorization policies between distributed applications – at massive scale.|
+| 771|[sanchit-gandhi/whisper-jax](https://github.com/sanchit-gandhi/whisper-jax)  |Optimised JAX code for OpenAI's Whisper Model, largely built on the Hugging Face Transformers Whisper implementation|
| 772|[UX-Decoder/Segment-Everything-Everywhere-All-At-Once](https://github.com/UX-Decoder/Segment-Everything-Everywhere-All-At-Once)  |Official implementation of the paper "Segment Everything Everywhere All at Once"|
| 773| [madawei2699/myGPTReader](https://github.com/madawei2699/myGPTReader)  | A slack bot that can read any webpage, ebook or document and summarize it with chatGPT |
| 774|[NVlabs/neuralangelo](https://github.com/NVlabs/neuralangelo) |Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)|
@@ -810,7 +810,7 @@
| 778|[sjvasquez/handwriting-synthesis](https://github.com/sjvasquez/handwriting-synthesis)  |Handwriting Synthesis with RNNs ✏️|
| 779|[Nukem9/dlssg-to-fsr3](https://github.com/Nukem9/dlssg-to-fsr3) |Adds AMD FSR3 Frame Generation to games by replacing Nvidia DLSS-G Frame Generation (nvngx_dlssg).|
| 780|[espeak-ng/espeak-ng](https://github.com/espeak-ng/espeak-ng) |eSpeak NG is an open source speech synthesizer that supports more than hundred languages and accents.|
-| 781|[BuilderIO/ai-shell](https://github.com/BuilderIO/ai-shell)  |A CLI that converts natural language to shell commands.|
+| 781|[BuilderIO/ai-shell](https://github.com/BuilderIO/ai-shell)  |A CLI that converts natural language to shell commands.|
| 782|[OpenBMB/AgentVerse](https://github.com/OpenBMB/AgentVerse) |🤖 AgentVerse 🪐 provides a flexible framework that simplifies the process of building custom multi-agent environments for large language models (LLMs).|
| 783|[SciPhi-AI/R2R](https://github.com/SciPhi-AI/R2R) |A framework for rapid development and deployment of production-ready RAG systems|
| 784|[WhiskeySockets/Baileys](https://github.com/WhiskeySockets/Baileys) |Lightweight full-featured typescript/javascript WhatsApp Web API|
@@ -819,9 +819,9 @@
| 787|[openai/plugins-quickstart](https://github.com/openai/plugins-quickstart)  |Get a ChatGPT plugin up and running in under 5 minutes!|
| 788|[google-deepmind/alphageometry](https://github.com/google-deepmind/alphageometry) |Solving Olympiad Geometry without Human Demonstrations|
| 789|[smol-ai/GodMode](https://github.com/smol-ai/GodMode) |AI Chat Browser: Fast, Full webapp access to ChatGPT / Claude / Bard / Bing / Llama2! I use this 20 times a day.|
-| 790|[Doriandarko/maestro](https://github.com/Doriandarko/maestro) |A framework for Claude Opus to intelligently orchestrate subagents.|
+| 790|[Doriandarko/maestro](https://github.com/Doriandarko/maestro) |A framework for Claude Opus to intelligently orchestrate subagents.|
| 791|[Blealtan/efficient-kan](https://github.com/Blealtan/efficient-kan) |An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).|
-| 792|[argilla-io/argilla](https://github.com/argilla-io/argilla) |Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.|
+| 792|[argilla-io/argilla](https://github.com/argilla-io/argilla) |Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.|
| 793|[Speykious/cve-rs](https://github.com/Speykious/cve-rs) |Blazingly 🔥 fast 🚀 memory vulnerabilities, written in 100% safe Rust. 🦀|
| 794|[Facico/Chinese-Vicuna](https://github.com/Facico/Chinese-Vicuna)  |Chinese-Vicuna: A Chinese Instruction-following LLaMA-based Model|
| 795|[ray-project/llm-numbers](https://github.com/ray-project/llm-numbers)  |Numbers every LLM developer should know|
@@ -830,10 +830,10 @@
| 798|[leetcode-mafia/cheetah](https://github.com/leetcode-mafia/cheetah)  |Whisper & GPT-based app for passing remote SWE interviews|
| 799|[CrazyBoyM/llama3-Chinese-chat](https://github.com/CrazyBoyM/llama3-Chinese-chat) |Llama3 Chinese Repository with modified versions, and training and deployment resources|
| 800|[yisol/IDM-VTON](https://github.com/yisol/IDM-VTON) |IDM-VTON : Improving Diffusion Models for Authentic Virtual Try-on in the Wild|
-| 801|[pipecat-ai/pipecat](https://github.com/pipecat-ai/pipecat) |Open Source framework for voice and multimodal conversational AI|
+| 801|[pipecat-ai/pipecat](https://github.com/pipecat-ai/pipecat) |Open Source framework for voice and multimodal conversational AI|
| 802|[argmaxinc/WhisperKit](https://github.com/argmaxinc/WhisperKit) |Swift native speech recognition on-device for iOS and macOS applications.|
| 803|[openai/grok](https://github.com/openai/grok) ||
-| 804|[fchollet/ARC-AGI](https://github.com/fchollet/ARC-AGI) |The Abstraction and Reasoning Corpus|
+| 804|[fchollet/ARC-AGI](https://github.com/fchollet/ARC-AGI) |The Abstraction and Reasoning Corpus|
| 805|[collabora/WhisperSpeech](https://github.com/collabora/WhisperSpeech) |An Open Source text-to-speech system built by inverting Whisper.|
| 806|[xlang-ai/OpenAgents](https://github.com/xlang-ai/OpenAgents) |OpenAgents: An Open Platform for Language Agents in the Wild|
| 807|[damo-vilab/AnyDoor](https://github.com/damo-vilab/AnyDoor) |Official implementations for paper: Anydoor: zero-shot object-level image customization|
@@ -841,36 +841,36 @@
| 809|[facebookresearch/co-tracker](https://github.com/facebookresearch/co-tracker) |CoTracker is a model for tracking any point (pixel) on a video.|
| 810|[LLM-Red-Team/kimi-free-api](https://github.com/LLM-Red-Team/kimi-free-api) |🚀 KIMI AI 长文本大模型白嫖服务，支持高速流式输出、联网搜索、长文档解读、图像解析、多轮对话，零配置部署，多路token支持，自动清理会话痕迹。|
| 811|[mshumer/gpt-llm-trainer](https://github.com/mshumer/gpt-llm-trainer) ||
-| 812|[comet-ml/opik](https://github.com/comet-ml/opik) |Open-source end-to-end LLM Development Platform|
+| 812|[comet-ml/opik](https://github.com/comet-ml/opik) |Open-source end-to-end LLM Development Platform|
| 813| [keijiro/AICommand](https://github.com/keijiro/AICommand)  | ChatGPT integration with Unity Editor |
-| 814|[philz1337x/clarity-upscaler](https://github.com/philz1337x/clarity-upscaler) |Clarity-Upscaler: Reimagined image upscaling for everyone|
-| 815|[deepseek-ai/DeepSeek-V2](https://github.com/deepseek-ai/DeepSeek-V2) ||
-| 816|[k2-fsa/sherpa-onnx](https://github.com/k2-fsa/sherpa-onnx) |Speech-to-text, text-to-speech, and speaker recongition using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, Raspberry Pi, RISC-V, x86_64 servers, websocket server/client, C/C++, Python, Kotlin, C#, Go, NodeJS, Java, Swift|
+| 814|[philz1337x/clarity-upscaler](https://github.com/philz1337x/clarity-upscaler) |Clarity-Upscaler: Reimagined image upscaling for everyone|
+| 815|[deepseek-ai/DeepSeek-V2](https://github.com/deepseek-ai/DeepSeek-V2) ||
+| 816|[k2-fsa/sherpa-onnx](https://github.com/k2-fsa/sherpa-onnx) |Speech-to-text, text-to-speech, and speaker recongition using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, Raspberry Pi, RISC-V, x86_64 servers, websocket server/client, C/C++, Python, Kotlin, C#, Go, NodeJS, Java, Swift|
| 817|[AutoMQ/automq](https://github.com/AutoMQ/automq) |AutoMQ is a cloud-first alternative to Kafka by decoupling durability to S3 and EBS. 10x cost-effective. Autoscale in seconds. Single-digit ms latency.|
| 818|[luban-agi/Awesome-AIGC-Tutorials](https://github.com/luban-agi/Awesome-AIGC-Tutorials) |Curated tutorials and resources for Large Language Models, AI Painting, and more.|
| 819|[alibaba-damo-academy/FunClip](https://github.com/alibaba-damo-academy/FunClip) |Open-source, accurate and easy-to-use video clipping tool, LLM based AI clipping intergrated |
-| 820|[metavoiceio/metavoice-src](https://github.com/metavoiceio/metavoice-src) |AI for human-level speech intelligence|
-| 821|[MarkFzp/mobile-aloha](https://github.com/MarkFzp/mobile-aloha) |Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation|
-| 822|[ragapp/ragapp](https://github.com/ragapp/ragapp) |The easiest way to use Agentic RAG in any enterprise|
-| 823|[google-research/timesfm](https://github.com/google-research/timesfm) |TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.|
-| 824|[MahmoudAshraf97/whisper-diarization](https://github.com/MahmoudAshraf97/whisper-diarization) |Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper|
+| 820|[google-research/timesfm](https://github.com/google-research/timesfm) |TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.|
+| 821|[metavoiceio/metavoice-src](https://github.com/metavoiceio/metavoice-src) |AI for human-level speech intelligence|
+| 822|[MarkFzp/mobile-aloha](https://github.com/MarkFzp/mobile-aloha) |Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation|
+| 823|[ragapp/ragapp](https://github.com/ragapp/ragapp) |The easiest way to use Agentic RAG in any enterprise|
+| 824|[MahmoudAshraf97/whisper-diarization](https://github.com/MahmoudAshraf97/whisper-diarization) |Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper|
| 825|[intelowlproject/IntelOwl](https://github.com/intelowlproject/IntelOwl) |IntelOwl: manage your Threat Intelligence at scale|
| 826|[Significant-Gravitas/Auto-GPT-Plugins](https://github.com/Significant-Gravitas/Auto-GPT-Plugins)  |Plugins for Auto-GPT|
| 827|[raspberrypi/pico-sdk](https://github.com/raspberrypi/pico-sdk) ||
-| 828|[TEN-framework/TEN-Agent](https://github.com/TEN-framework/TEN-Agent) |TEN Agent is a realtime conversational AI agent powered by TEN. It seamlessly integrates the OpenAI Realtime API, RTC capabilities, and advanced features like weather updates, web search, computer vision, and Retrieval-Augmented Generation (RAG).|
-| 829|[apple/ml-mgie](https://github.com/apple/ml-mgie) ||
+| 828|[TEN-framework/TEN-Agent](https://github.com/TEN-framework/TEN-Agent) |TEN Agent is a realtime conversational AI agent powered by TEN. It seamlessly integrates the OpenAI Realtime API, RTC capabilities, and advanced features like weather updates, web search, computer vision, and Retrieval-Augmented Generation (RAG).|
+| 829|[apple/ml-mgie](https://github.com/apple/ml-mgie) ||
| 830|[llSourcell/DoctorGPT](https://github.com/llSourcell/DoctorGPT) |DoctorGPT is an LLM that can pass the US Medical Licensing Exam. It works offline, it's cross-platform, & your health data stays private.|
| 831|[FlagAI-Open/FlagAI](https://github.com/FlagAI-Open/FlagAI) |FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model.|
| 832|[jackMort/ChatGPT.nvim](https://github.com/jackMort/ChatGPT.nvim) |ChatGPT Neovim Plugin: Effortless Natural Language Generation with OpenAI's ChatGPT API|
| 833|[ravenscroftj/turbopilot](https://github.com/ravenscroftj/turbopilot)  |Turbopilot is an open source large-language-model based code completion engine that runs locally on CPU|
| 834|[shroominic/codeinterpreter-api](https://github.com/shroominic/codeinterpreter-api) |Open source implementation of the ChatGPT Code Interpreter 👾|
-| 835|[anti-work/shortest](https://github.com/anti-work/shortest) |QA via natural language AI tests|
+| 835|[anti-work/shortest](https://github.com/anti-work/shortest) |QA via natural language AI tests|
| 836|[Tencent/HunyuanDiT](https://github.com/Tencent/HunyuanDiT) |Hunyuan-DiT : A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding|
| 837|[SysCV/sam-hq](https://github.com/SysCV/sam-hq) |Segment Anything in High Quality|
-| 838|[QwenLM/Qwen2.5-Coder](https://github.com/QwenLM/Qwen2.5-Coder) |Qwen2.5-Coder is the code version of Qwen2.5, the large language model series developed by Qwen team, Alibaba Cloud.|
+| 838|[QwenLM/Qwen2.5-Coder](https://github.com/QwenLM/Qwen2.5-Coder) |Qwen2.5-Coder is the code version of Qwen2.5, the large language model series developed by Qwen team, Alibaba Cloud.|
| 839|[ostris/ai-toolkit](https://github.com/ostris/ai-toolkit) |Various AI scripts. Mostly Stable Diffusion stuff.|
| 840|[Codium-ai/AlphaCodium](https://github.com/Codium-ai/AlphaCodium) |code generation tool that surpasses most human competitors in CodeContests|
-| 841|[alibaba/higress](https://github.com/alibaba/higress) |🤖 AI Gateway |
+| 841|[alibaba/higress](https://github.com/alibaba/higress) |🤖 AI Gateway |
| 842|[awslabs/multi-agent-orchestrator](https://github.com/awslabs/multi-agent-orchestrator) |Flexible and powerful framework for managing multiple AI agents and handling complex conversations|
| 843|[hiyouga/ChatGLM-Efficient-Tuning](https://github.com/hiyouga/ChatGLM-Efficient-Tuning) |Fine-tuning ChatGLM-6B with PEFT |
| 844|[huggingface/distil-whisper](https://github.com/huggingface/distil-whisper) |Distilled variant of Whisper for speech recognition. 6x faster, 50% smaller, within 1% word error rate.|
@@ -879,20 +879,20 @@
| 847|[0hq/WebGPT](https://github.com/0hq/WebGPT)  |Run GPT model on the browser with WebGPU. An implementation of GPT inference in less than ~2000 lines of vanilla Javascript.|
| 848| [Yue-Yang/ChatGPT-Siri](https://github.com/Yue-Yang/ChatGPT-Siri)  | Shortcuts for Siri using ChatGPT API gpt-3.5-turbo model |
| 849|[deanxv/coze-discord-proxy](https://github.com/deanxv/coze-discord-proxy) |代理Discord-Bot对话Coze-Bot，实现API形式请求GPT4对话模型/微调模型|
-| 850|[nucleuscloud/neosync](https://github.com/nucleuscloud/neosync) |Open source data anonymization and synthetic data orchestration for developers. Create high fidelity synthetic data and sync it across your environments.|
+| 850|[nucleuscloud/neosync](https://github.com/nucleuscloud/neosync) |Open source data anonymization and synthetic data orchestration for developers. Create high fidelity synthetic data and sync it across your environments.|
| 851|[Luodian/Otter](https://github.com/Luodian/Otter) |🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.|
| 852|[ricklamers/gpt-code-ui](https://github.com/ricklamers/gpt-code-ui)  |An open source implementation of OpenAI's ChatGPT Code interpreter|
| 853|[whoiskatrin/chart-gpt](https://github.com/whoiskatrin/chart-gpt)  |AI tool to build charts based on text input|
| 854|[hemansnation/God-Level-Data-Science-ML-Full-Stack](https://github.com/hemansnation/God-Level-Data-Science-ML-Full-Stack)  |A collection of scientific methods, processes, algorithms, and systems to build stories & models. This roadmap contains 16 Chapters, whether you are a fresher in the field or an experienced professional who wants to transition into Data Science & AI|
-| 855|[agiresearch/AIOS](https://github.com/agiresearch/AIOS) |AIOS: LLM Agent Operating System|
+| 855|[agiresearch/AIOS](https://github.com/agiresearch/AIOS) |AIOS: LLM Agent Operating System|
| 856|[spring-projects/spring-ai](https://github.com/spring-projects/spring-ai) |An Application Framework for AI Engineering|
| 857|[cvg/LightGlue](https://github.com/cvg/LightGlue) |LightGlue: Local Feature Matching at Light Speed (ICCV 2023)|
| 858| [Kent0n-Li/ChatDoctor](https://github.com/Kent0n-Li/ChatDoctor)  | A Medical Chat Model Fine-tuned on LLaMA Model using Medical Domain Knowledge |
| 859|[minimaxir/simpleaichat](https://github.com/minimaxir/simpleaichat) |Python package for easily interfacing with chat apps, with robust features and minimal code complexity.|
| 860|[xtekky/chatgpt-clone](https://github.com/xtekky/chatgpt-clone)  |ChatGPT interface with better UI|
-| 861|[truefoundry/cognita](https://github.com/truefoundry/cognita) |RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry|
-| 862|[google/security-research](https://github.com/google/security-research) |This project hosts security advisories and their accompanying proof-of-concepts related to research conducted at Google which impact non-Google owned code.|
-| 863|[hengyoush/kyanos](https://github.com/hengyoush/kyanos) |Visualize the time packets spend in the kernel, watch & analyze in command line.|
+| 861|[truefoundry/cognita](https://github.com/truefoundry/cognita) |RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry|
+| 862|[hengyoush/kyanos](https://github.com/hengyoush/kyanos) |Visualize the time packets spend in the kernel, watch & analyze in command line.|
+| 863|[google/security-research](https://github.com/google/security-research) |This project hosts security advisories and their accompanying proof-of-concepts related to research conducted at Google which impact non-Google owned code.|
| 864|[run-llama/llama-hub](https://github.com/run-llama/llama-hub) |A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain|
| 865|[pytorch/torchchat](https://github.com/pytorch/torchchat) |Run PyTorch LLMs locally on servers, desktop and mobile|
| 866|[krishnaik06/Roadmap-To-Learn-Generative-AI-In-2024](https://github.com/krishnaik06/Roadmap-To-Learn-Generative-AI-In-2024) |Roadmap To Learn Generative AI In 2024|
@@ -905,12 +905,12 @@
| 873|[albertan017/LLM4Decompile](https://github.com/albertan017/LLM4Decompile) |Reverse Engineering: Decompiling Binary Code with Large Language Models|
| 874|[jupyterlab/jupyter-ai](https://github.com/jupyterlab/jupyter-ai) |A generative AI extension for JupyterLab|
| 875|[Zipstack/unstract](https://github.com/Zipstack/unstract) |No-code LLM Platform to launch APIs and ETL Pipelines to structure unstructured documents|
-| 876|[NVIDIA/garak](https://github.com/NVIDIA/garak) |the LLM vulnerability scanner|
-| 877|[timescale/pgai](https://github.com/timescale/pgai) |A suite of tools to develop RAG, semantic search, and other AI applications more easily with PostgreSQL|
+| 876|[NVIDIA/garak](https://github.com/NVIDIA/garak) |the LLM vulnerability scanner|
+| 877|[timescale/pgai](https://github.com/timescale/pgai) |A suite of tools to develop RAG, semantic search, and other AI applications more easily with PostgreSQL|
| 878|[pashpashpash/vault-ai](https://github.com/pashpashpash/vault-ai)  |OP Vault ChatGPT: Give ChatGPT long-term memory using the OP Stack (OpenAI + Pinecone Vector Database). Upload your own custom knowledge base files (PDF, txt, etc) using a simple React frontend.|
-| 879|[dnhkng/GlaDOS](https://github.com/dnhkng/GlaDOS) |This is the Personality Core for GLaDOS, the first steps towards a real-life implementation of the AI from the Portal series by Valve.|
-| 880|[X-PLUG/MobileAgent](https://github.com/X-PLUG/MobileAgent) |Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception|
-| 881|[dvlab-research/MiniGemini](https://github.com/dvlab-research/MiniGemini) |Official implementation for Mini-Gemini|
+| 879|[dnhkng/GlaDOS](https://github.com/dnhkng/GlaDOS) |This is the Personality Core for GLaDOS, the first steps towards a real-life implementation of the AI from the Portal series by Valve.|
+| 880|[X-PLUG/MobileAgent](https://github.com/X-PLUG/MobileAgent) |Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception|
+| 881|[dvlab-research/MiniGemini](https://github.com/dvlab-research/MiniGemini) |Official implementation for Mini-Gemini|
| 882|[AprilNEA/ChatGPT-Admin-Web](https://github.com/AprilNEA/ChatGPT-Admin-Web)  
| ChatGPT WebUI with user management and admin dashboard system|
| 883|[OpenGVLab/InternGPT](https://github.com/OpenGVLab/InternGPT)  |InternGPT (iGPT) is an open source demo platform where you can easily showcase your AI models. Now it supports DragGAN, ChatGPT, ImageBind, multimodal chat like GPT-4, SAM, interactive image editing, etc. Try it at igpt.opengvlab.com (支持DragGAN、ChatGPT、ImageBind、SAM的在线Demo系统)|
| 884|[ethen8181/machine-learning](https://github.com/ethen8181/machine-learning) |🌎 machine learning tutorials (mainly in Python3)|
@@ -918,14 +918,14 @@
| 886|[iusztinpaul/hands-on-llms](https://github.com/iusztinpaul/hands-on-llms) |🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴|
| 887|[linyiLYi/bilibot](https://github.com/linyiLYi/bilibot) |A local chatbot fine-tuned by bilibili user comments.|
| 888|[CanadaHonk/porffor](https://github.com/CanadaHonk/porffor) |A from-scratch experimental AOT JS engine, written in JS|
-| 889|[ai-boost/Awesome-GPTs](https://github.com/ai-boost/Awesome-GPTs) |Curated list of awesome GPTs 👍.|
-| 890|[microsoft/torchgeo](https://github.com/microsoft/torchgeo) |TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data|
-| 891|[Ironclad/rivet](https://github.com/Ironclad/rivet)  
|The open-source visual AI programming environment and TypeScript library|
-| 892|[hustvl/Vim](https://github.com/hustvl/Vim) |Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model|
-| 893|[gptscript-ai/gptscript](https://github.com/gptscript-ai/gptscript) |Natural Language Programming|
-| 894|[opengeos/segment-geospatial](https://github.com/opengeos/segment-geospatial)  |A Python package for segmenting geospatial data with the Segment Anything Model (SAM)|
-| 895|[OpenSPG/KAG](https://github.com/OpenSPG/KAG) |KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.|
-| 896|[MarkFzp/act-plus-plus](https://github.com/MarkFzp/act-plus-plus) |Imitation Learning algorithms with Co-traing for Mobile ALOHA: ACT, Diffusion Policy, VINN|
+| 889|[ai-boost/Awesome-GPTs](https://github.com/ai-boost/Awesome-GPTs) |Curated list of awesome GPTs 👍.|
+| 890|[microsoft/torchgeo](https://github.com/microsoft/torchgeo) |TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data|
+| 891|[Ironclad/rivet](https://github.com/Ironclad/rivet)  |The open-source visual AI programming environment and TypeScript library|
+| 892|[OpenSPG/KAG](https://github.com/OpenSPG/KAG) |KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.|
+| 893|[hustvl/Vim](https://github.com/hustvl/Vim) |Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model|
+| 894|[gptscript-ai/gptscript](https://github.com/gptscript-ai/gptscript) |Natural Language Programming|
+| 895|[opengeos/segment-geospatial](https://github.com/opengeos/segment-geospatial)  |A Python package for segmenting geospatial data with the Segment Anything Model (SAM)|
+| 896|[MarkFzp/act-plus-plus](https://github.com/MarkFzp/act-plus-plus) |Imitation Learning algorithms with Co-traing for Mobile ALOHA: ACT, Diffusion Policy, VINN|
| 897|[PKU-YuanGroup/Video-LLaVA](https://github.com/PKU-YuanGroup/Video-LLaVA)  |Video-LLaVA: Learning United Visual Representation by Alignment Before Projection|
| 898|[Marker-Inc-Korea/AutoRAG](https://github.com/Marker-Inc-Korea/AutoRAG) |AutoML tool for RAG|
| 899|[neuralmagic/deepsparse](https://github.com/neuralmagic/deepsparse) |Sparsity-aware deep learning inference runtime for CPUs|
@@ -936,7 +936,7 @@
| 904|[damo-vilab/i2vgen-xl](https://github.com/damo-vilab/i2vgen-xl) |Official repo for VGen: a holistic video generation ecosystem for video generation building on diffusion models|
| 905|[Azure-Samples/cognitive-services-speech-sdk](https://github.com/Azure-Samples/cognitive-services-speech-sdk) |Sample code for the Microsoft Cognitive Services Speech SDK|
| 906|[DataTalksClub/llm-zoomcamp](https://github.com/DataTalksClub/llm-zoomcamp) |LLM Zoomcamp - a free online course about building an AI bot that can answer questions about your knowledge base|
-| 907|[huggingface/safetensors](https://github.com/huggingface/safetensors) |Simple, safe way to store and distribute tensors|
+| 907|[huggingface/safetensors](https://github.com/huggingface/safetensors) |Simple, safe way to store and distribute tensors|
| 908|[williamyang1991/Rerender_A_Video](https://github.com/williamyang1991/Rerender_A_Video) |[SIGGRAPH Asia 2023] Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation|
| 909|[baichuan-inc/Baichuan-13B](https://github.com/baichuan-inc/Baichuan-13B) |A 13B large language model developed by Baichuan Intelligent Technology|
| 910|[adamcohenhillel/ADeus](https://github.com/adamcohenhillel/ADeus) |An open source AI wearable device that captures what you say and hear in the real world and then transcribes and stores it on your own server. You can then chat with Adeus using the app, and it will have all the right context about what you want to talk about - a truly personalized, personal AI.|
@@ -944,30 +944,30 @@
| 912|[li-plus/chatglm.cpp](https://github.com/li-plus/chatglm.cpp) |C++ implementation of ChatGLM-6B & ChatGLM2-6B & ChatGLM3 & more LLMs|
| 913|[Helicone/helicone](https://github.com/Helicone/helicone) |🧊 Open source LLM-Observability Platform for Developers. One-line integration for monitoring, metrics, evals, agent tracing, prompt management, playground, etc. Supports OpenAI SDK, Vercel AI SDK, Anthropic SDK, LiteLLM, LLamaIndex, LangChain, and more. 🍓 YC W23|
| 914|[gmpetrov/databerry](https://github.com/gmpetrov/databerry) |The no-code platform for building custom LLM Agents|
-| 915|[iree-org/iree](https://github.com/iree-org/iree) |A retargetable MLIR-based machine learning compiler and runtime toolkit.|
-| 916|[pytorch/torchtitan](https://github.com/pytorch/torchtitan) |A native PyTorch Library for large model training|
-| 917|[ToTheBeginning/PuLID](https://github.com/ToTheBeginning/PuLID) |Official code for PuLID: Pure and Lightning ID Customization via Contrastive Alignment|
+| 915|[pytorch/torchtitan](https://github.com/pytorch/torchtitan) |A native PyTorch Library for large model training|
+| 916|[iree-org/iree](https://github.com/iree-org/iree) |A retargetable MLIR-based machine learning compiler and runtime toolkit.|
+| 917|[ToTheBeginning/PuLID](https://github.com/ToTheBeginning/PuLID) |Official code for PuLID: Pure and Lightning ID Customization via Contrastive Alignment|
| 918|[cohere-ai/cohere-toolkit](https://github.com/cohere-ai/cohere-toolkit) |Toolkit is a collection of prebuilt components enabling users to quickly build and deploy RAG applications.|
| 919|[browserbase/stagehand](https://github.com/browserbase/stagehand) |An AI web browsing framework focused on simplicity and extensibility.|
| 920|[facebookresearch/ijepa](https://github.com/facebookresearch/ijepa) |Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive architecture."|
| 921|[eureka-research/Eureka](https://github.com/eureka-research/Eureka) |Official Repository for "Eureka: Human-Level Reward Design via Coding Large Language Models"|
-| 922|[MervinPraison/PraisonAI](https://github.com/MervinPraison/PraisonAI) |PraisonAI application combines AutoGen and CrewAI or similar frameworks into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customisation, and efficient human-agent collaboration.|
-| 923|[billmei/every-chatgpt-gui](https://github.com/billmei/every-chatgpt-gui) |Every front-end GUI client for ChatGPT|
+| 922|[MervinPraison/PraisonAI](https://github.com/MervinPraison/PraisonAI) |PraisonAI application combines AutoGen and CrewAI or similar frameworks into a low-code solution for building and managing multi-agent LLM systems, focusing on simplicity, customisation, and efficient human-agent collaboration.|
+| 923|[billmei/every-chatgpt-gui](https://github.com/billmei/every-chatgpt-gui) |Every front-end GUI client for ChatGPT|
| 924|[NVIDIA/trt-llm-rag-windows](https://github.com/NVIDIA/trt-llm-rag-windows) |A developer reference project for creating Retrieval Augmented Generation (RAG) chatbots on Windows using TensorRT-LLM|
-| 925|[salesforce/CodeT5](https://github.com/salesforce/CodeT5)  |Home of CodeT5: Open Code LLMs for Code Understanding and Generation|
+| 925|[salesforce/CodeT5](https://github.com/salesforce/CodeT5)  |Home of CodeT5: Open Code LLMs for Code Understanding and Generation|
| 926|[muellerberndt/mini-agi](https://github.com/muellerberndt/mini-agi)  |A minimal generic autonomous agent based on GPT3.5/4. Can analyze stock prices, perform network security tests, create art, and order pizza.|
| 927|[meta-llama/PurpleLlama](https://github.com/meta-llama/PurpleLlama) |Set of tools to assess and improve LLM security.|
| 928|[Stability-AI/stable-audio-tools](https://github.com/Stability-AI/stable-audio-tools) |Generative models for conditional audio generation|
| 929|[SamurAIGPT/privateGPT](https://github.com/SamurAIGPT/privateGPT)  |An app to interact privately with your documents using the power of GPT, 100% privately, no data leaks|
-| 930|[sugarforever/chat-ollama](https://github.com/sugarforever/chat-ollama) |ChatOllama is an open source chatbot based on LLMs. It supports a wide range of language models, and knowledge base management.|
+| 930|[sugarforever/chat-ollama](https://github.com/sugarforever/chat-ollama) |ChatOllama is an open source chatbot based on LLMs. It supports a wide range of language models, and knowledge base management.|
| 931|[amazon-science/chronos-forecasting](https://github.com/amazon-science/chronos-forecasting) |Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting|
| 932|[nus-apr/auto-code-rover](https://github.com/nus-apr/auto-code-rover) |A project structure aware autonomous software engineer aiming for autonomous program improvement|
| 933|[cvlab-columbia/zero123](https://github.com/cvlab-columbia/zero123) |Zero-1-to-3: Zero-shot One Image to 3D Object: https://zero123.cs.columbia.edu/|
| 934|[hegelai/prompttools](https://github.com/hegelai/prompttools) |Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate).|
| 935|[Alpha-VLLM/LLaMA2-Accessory](https://github.com/Alpha-VLLM/LLaMA2-Accessory) |An Open-source Toolkit for LLM Development|
-| 936|[neo4j-labs/llm-graph-builder](https://github.com/neo4j-labs/llm-graph-builder) |Neo4j graph construction from unstructured data using LLMs|
-| 937|[SCUTlihaoyu/open-chat-video-editor](https://github.com/SCUTlihaoyu/open-chat-video-editor)  |Open source short video automatic generation tool|
-| 938|[facebookresearch/jepa](https://github.com/facebookresearch/jepa) |PyTorch code and models for V-JEPA self-supervised learning from video.|
+| 936|[neo4j-labs/llm-graph-builder](https://github.com/neo4j-labs/llm-graph-builder) |Neo4j graph construction from unstructured data using LLMs|
+| 937|[SCUTlihaoyu/open-chat-video-editor](https://github.com/SCUTlihaoyu/open-chat-video-editor)  |Open source short video automatic generation tool|
+| 938|[facebookresearch/jepa](https://github.com/facebookresearch/jepa) |PyTorch code and models for V-JEPA self-supervised learning from video.|
| 939|[mazzzystar/Queryable](https://github.com/mazzzystar/Queryable) |Run CLIP on iPhone to Search Photos.|
| 940|[facebookresearch/audio2photoreal](https://github.com/facebookresearch/audio2photoreal) |Code and dataset for photorealistic Codec Avatars driven from audio|
| 941|[facebookresearch/Pearl](https://github.com/facebookresearch/Pearl) |A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.|
@@ -980,40 +980,40 @@
| 948|[deepseek-ai/DeepSeek-Coder-V2](https://github.com/deepseek-ai/DeepSeek-Coder-V2) |DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence|
| 949|[johnma2006/mamba-minimal](https://github.com/johnma2006/mamba-minimal) |Simple, minimal implementation of the Mamba SSM in one file of PyTorch.|
| 950|[xenova/whisper-web](https://github.com/xenova/whisper-web) |ML-powered speech recognition directly in your browser|
-| 951|[Lightning-AI/LitServe](https://github.com/Lightning-AI/LitServe) |Lightning-fast serving engine for AI models. Flexible. Easy. Enterprise-scale.|
-| 952|[leptonai/leptonai](https://github.com/leptonai/leptonai) |A Pythonic framework to simplify AI service building|
-| 953|[mishushakov/llm-scraper](https://github.com/mishushakov/llm-scraper) |Turn any webpage into structured data using LLMs|
-| 954|[github/CopilotForXcode](https://github.com/github/CopilotForXcode) |Xcode extension for GitHub Copilot|
-| 955|[ishan0102/vimGPT](https://github.com/ishan0102/vimGPT) |Browse the web with GPT-4V and Vimium|
-| 956|[gptlink/gptlink](https://github.com/gptlink/gptlink)  |Build your own free commercial ChatGPT environment in 10 minutes. The setup is simple and includes features such as user management, orders, tasks, and payments|
-| 957|[georgia-tech-db/eva](https://github.com/georgia-tech-db/eva)  |AI-Relational Database System |
-| 958|[src-d/hercules](https://github.com/src-d/hercules) |Gaining advanced insights from Git repository history.|
+| 951|[mishushakov/llm-scraper](https://github.com/mishushakov/llm-scraper) |Turn any webpage into structured data using LLMs|
+| 952|[Lightning-AI/LitServe](https://github.com/Lightning-AI/LitServe) |Lightning-fast serving engine for AI models. Flexible. Easy. Enterprise-scale.|
+| 953|[leptonai/leptonai](https://github.com/leptonai/leptonai) |A Pythonic framework to simplify AI service building|
+| 954|[github/CopilotForXcode](https://github.com/github/CopilotForXcode) |Xcode extension for GitHub Copilot|
+| 955|[ishan0102/vimGPT](https://github.com/ishan0102/vimGPT) |Browse the web with GPT-4V and Vimium|
+| 956|[gptlink/gptlink](https://github.com/gptlink/gptlink)  |Build your own free commercial ChatGPT environment in 10 minutes. The setup is simple and includes features such as user management, orders, tasks, and payments|
+| 957|[georgia-tech-db/eva](https://github.com/georgia-tech-db/eva)  |AI-Relational Database System |
+| 958|[src-d/hercules](https://github.com/src-d/hercules) |Gaining advanced insights from Git repository history.|
| 959|[microsoft/Phi-3CookBook](https://github.com/microsoft/Phi-3CookBook) |This is a Phi-3 book for getting started with Phi-3. Phi-3, a family of open AI models developed by Microsoft. Phi-3 models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks.|
| 960|[FranxYao/chain-of-thought-hub](https://github.com/FranxYao/chain-of-thought-hub) |Benchmarking large language models' complex reasoning ability with chain-of-thought prompting|
| 961|[kubernetes-sigs/controller-runtime](https://github.com/kubernetes-sigs/controller-runtime) |Repo for the controller-runtime subproject of kubebuilder (sig-apimachinery)|
-| 962|[tencentmusic/supersonic](https://github.com/tencentmusic/supersonic) |SuperSonic is the next-generation BI platform that integrates Chat BI (powered by LLM) and Headless BI (powered by semantic layer) paradigms.|
+| 962|[tencentmusic/supersonic](https://github.com/tencentmusic/supersonic) |SuperSonic is the next-generation BI platform that integrates Chat BI (powered by LLM) and Headless BI (powered by semantic layer) paradigms.|
| 963|[NVIDIA/GenerativeAIExamples](https://github.com/NVIDIA/GenerativeAIExamples) |Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.|
-| 964|[jqnatividad/qsv](https://github.com/jqnatividad/qsv) |CSVs sliced, diced & analyzed.|
+| 964|[jqnatividad/qsv](https://github.com/jqnatividad/qsv) |CSVs sliced, diced & analyzed.|
| 965|[liou666/polyglot](https://github.com/liou666/polyglot)  |Desktop AI Language Practice Application|
| 966|[elastic/otel-profiling-agent](https://github.com/elastic/otel-profiling-agent) |The production-scale datacenter profiler|
| 967|[SuperTux/supertux](https://github.com/SuperTux/supertux) |SuperTux source code|
-| 968|[MrForExample/ComfyUI-3D-Pack](https://github.com/MrForExample/ComfyUI-3D-Pack) |An extensive node suite that enables ComfyUI to process 3D inputs (Mesh & UV Texture, etc) using cutting edge algorithms (3DGS, NeRF, etc.)|
-| 969|[abi/secret-llama](https://github.com/abi/secret-llama) |Fully private LLM chatbot that runs entirely with a browser with no server needed. Supports Mistral and LLama 3.|
-| 970|[google-deepmind/gemma](https://github.com/google-deepmind/gemma) |Open weights LLM from Google DeepMind.|
+| 968|[MrForExample/ComfyUI-3D-Pack](https://github.com/MrForExample/ComfyUI-3D-Pack) |An extensive node suite that enables ComfyUI to process 3D inputs (Mesh & UV Texture, etc) using cutting edge algorithms (3DGS, NeRF, etc.)|
+| 969|[abi/secret-llama](https://github.com/abi/secret-llama) |Fully private LLM chatbot that runs entirely with a browser with no server needed. Supports Mistral and LLama 3.|
+| 970|[google-deepmind/gemma](https://github.com/google-deepmind/gemma) |Open weights LLM from Google DeepMind.|
| 971|[TMElyralab/MuseV](https://github.com/TMElyralab/MuseV) |MuseV: Infinite-length and High Fidelity Virtual Human Video Generation with Visual Conditioned Parallel Denoising|
-| 972|[isaac-sim/IsaacLab](https://github.com/isaac-sim/IsaacLab) |Unified framework for robot learning built on NVIDIA Isaac Sim|
+| 972|[isaac-sim/IsaacLab](https://github.com/isaac-sim/IsaacLab) |Unified framework for robot learning built on NVIDIA Isaac Sim|
| 973|[baaivision/Painter](https://github.com/baaivision/Painter)  |Painter & SegGPT Series: Vision Foundation Models from BAAI|
| 974|[databricks/dbrx](https://github.com/databricks/dbrx) |Code examples and resources for DBRX, a large language model developed by Databricks|
| 975|[lamini-ai/lamini](https://github.com/lamini-ai/lamini)  |Official repo for Lamini's data generator for generating instructions to train instruction-following LLMs|
| 976|[OpenPipe/OpenPipe](https://github.com/OpenPipe/OpenPipe) |Turn expensive prompts into cheap fine-tuned models|
| 977|[mshumer/gpt-author](https://github.com/mshumer/gpt-author) ||
| 978|[microsoft/promptbench](https://github.com/microsoft/promptbench) |A unified evaluation framework for large language models|
-| 979|[lanqian528/chat2api](https://github.com/lanqian528/chat2api) |A service that can convert ChatGPT on the web to OpenAI API format.|
+| 979|[lanqian528/chat2api](https://github.com/lanqian528/chat2api) |A service that can convert ChatGPT on the web to OpenAI API format.|
| 980|[LLMBook-zh/LLMBook-zh.github.io](https://github.com/LLMBook-zh/LLMBook-zh.github.io) |《大语言模型》作者：赵鑫，李军毅，周昆，唐天一，文继荣|
| 981|[TracecatHQ/tracecat](https://github.com/TracecatHQ/tracecat) |😼 The AI-native, open source alternative to Tines / Splunk SOAR.|
| 982|[kevmo314/magic-copy](https://github.com/kevmo314/magic-copy)  |Magic Copy is a Chrome extension that uses Meta's Segment Anything Model to extract a foreground object from an image and copy it to the clipboard.|
-| 983|[web-infra-dev/midscene](https://github.com/web-infra-dev/midscene) |An AI-powered automation SDK can control the page, perform assertions, and extract data in JSON format using natural language.|
-| 984|[nerfstudio-project/gsplat](https://github.com/nerfstudio-project/gsplat) |CUDA accelerated rasterization of gaussian splatting|
+| 983|[web-infra-dev/midscene](https://github.com/web-infra-dev/midscene) |An AI-powered automation SDK can control the page, perform assertions, and extract data in JSON format using natural language.|
+| 984|[nerfstudio-project/gsplat](https://github.com/nerfstudio-project/gsplat) |CUDA accelerated rasterization of gaussian splatting|
| 985|[paulpierre/RasaGPT](https://github.com/paulpierre/RasaGPT)  |💬 RasaGPT is the first headless LLM chatbot platform built on top of Rasa and Langchain. Built w/ Rasa, FastAPI, Langchain, LlamaIndex, SQLModel, pgvector, ngrok, telegram|
| 986|[girafe-ai/ml-course](https://github.com/girafe-ai/ml-course) |Open Machine Learning course|
| 987|[TMElyralab/MusePose](https://github.com/TMElyralab/MusePose) |MusePose: a Pose-Driven Image-to-Video Framework for Virtual Human Generation|
@@ -1030,13 +1030,13 @@
| 998|[deepseek-ai/DeepSeek-VL](https://github.com/deepseek-ai/DeepSeek-VL) |DeepSeek-VL: Towards Real-World Vision-Language Understanding|
| 999|[mshumer/gpt-investor](https://github.com/mshumer/gpt-investor) ||
| 1000|[allenai/open-instruct](https://github.com/allenai/open-instruct) ||
-| 1001|[Yonom/assistant-ui](https://github.com/Yonom/assistant-ui) |React Components for AI Chat 💬 🚀|
+| 1001|[Yonom/assistant-ui](https://github.com/Yonom/assistant-ui) |React Components for AI Chat 💬 🚀|
| 1002|[aixcoder-plugin/aiXcoder-7B](https://github.com/aixcoder-plugin/aiXcoder-7B) |official repository of aiXcoder-7B Code Large Language Model|
-| 1003|[princeton-nlp/SWE-bench](https://github.com/princeton-nlp/SWE-bench) |[ICLR 2024] SWE-Bench: Can Language Models Resolve Real-world Github Issues?|
-| 1004|[semanser/codel](https://github.com/semanser/codel) |✨ Fully autonomous AI Agent that can perform complicated tasks and projects using terminal, browser, and editor.|
+| 1003|[princeton-nlp/SWE-bench](https://github.com/princeton-nlp/SWE-bench) |[ICLR 2024] SWE-Bench: Can Language Models Resolve Real-world Github Issues?|
+| 1004|[semanser/codel](https://github.com/semanser/codel) |✨ Fully autonomous AI Agent that can perform complicated tasks and projects using terminal, browser, and editor.|
| 1005|[6drf21e/ChatTTS_colab](https://github.com/6drf21e/ChatTTS_colab) |🚀 一键部署（含离线整合包）！基于 ChatTTS ，支持音色抽卡、长音频生成和分角色朗读。简单易用，无需复杂安装。|
| 1006|[luijait/DarkGPT](https://github.com/luijait/DarkGPT) |DarkGPT is an OSINT assistant based on GPT-4-200K (recommended use) designed to perform queries on leaked databases, thus providing an artificial intelligence assistant that can be useful in your traditional OSINT processes.|
-| 1007|[mlabonne/llm-datasets](https://github.com/mlabonne/llm-datasets) |High-quality datasets, tools, and concepts for LLM fine-tuning.|
+| 1007|[mlabonne/llm-datasets](https://github.com/mlabonne/llm-datasets) |High-quality datasets, tools, and concepts for LLM fine-tuning.|
| 1008|[THUDM/CogVLM2](https://github.com/THUDM/CogVLM2) |GPT4V-level open-source multi-modal model based on Llama3-8B|
| 1009|[emcf/engshell](https://github.com/emcf/engshell)  |An English-language shell for any OS, powered by LLMs|
| 1010|[iterative/datachain](https://github.com/iterative/datachain) |AI-data warehouse to enrich, transform and analyze data from cloud storages|
@@ -1046,15 +1046,15 @@
| 1014|[microsoft/genaiscript](https://github.com/microsoft/genaiscript) |Automatable GenAI Scripting|
| 1015|[cgpotts/cs224u](https://github.com/cgpotts/cs224u) |Code for Stanford CS224u|
| 1016|[Alpha-VLLM/Lumina-T2X](https://github.com/Alpha-VLLM/Lumina-T2X) |Lumina-T2X is a unified framework for Text to Any Modality Generation|
-| 1017|[openai/simple-evals](https://github.com/openai/simple-evals) ||
+| 1017|[openai/simple-evals](https://github.com/openai/simple-evals) ||
| 1018|[ant-design/x](https://github.com/ant-design/x) |Craft AI-driven interfaces effortlessly 🤖|
-| 1019|[Azure-Samples/graphrag-accelerator](https://github.com/Azure-Samples/graphrag-accelerator) |One-click deploy of a Knowledge Graph powered RAG (GraphRAG) in Azure|
-| 1020|[PKU-YuanGroup/MoE-LLaVA](https://github.com/PKU-YuanGroup/MoE-LLaVA) |Mixture-of-Experts for Large Vision-Language Models|
+| 1019|[Azure-Samples/graphrag-accelerator](https://github.com/Azure-Samples/graphrag-accelerator) |One-click deploy of a Knowledge Graph powered RAG (GraphRAG) in Azure|
+| 1020|[PKU-YuanGroup/MoE-LLaVA](https://github.com/PKU-YuanGroup/MoE-LLaVA) |Mixture-of-Experts for Large Vision-Language Models|
| 1021|[Azure/PyRIT](https://github.com/Azure/PyRIT) |The Python Risk Identification Tool for generative AI (PyRIT) is an open access automation framework to empower security professionals and machine learning engineers to proactively find risks in their generative AI systems.|
-| 1022|[anthropics/prompt-eng-interactive-tutorial](https://github.com/anthropics/prompt-eng-interactive-tutorial) |Anthropic's Interactive Prompt Engineering Tutorial|
+| 1022|[anthropics/prompt-eng-interactive-tutorial](https://github.com/anthropics/prompt-eng-interactive-tutorial) |Anthropic's Interactive Prompt Engineering Tutorial|
| 1023|[AI-Citizen/SolidGPT](https://github.com/AI-Citizen/SolidGPT) |Chat everything with your code repository, ask repository level code questions, and discuss your requirements. AI Scan and learning your code repository, provide you code repository level answer🧱 🧱|
| 1024|[AI4Finance-Foundation/FinRobot](https://github.com/AI4Finance-Foundation/FinRobot) |FinRobot: An Open-Source AI Agent Platform for Financial Applications using LLMs 🚀 🚀 🚀|
-| 1025|[PRIS-CV/DemoFusion](https://github.com/PRIS-CV/DemoFusion) |Let us democratise high-resolution generation! (arXiv 2023)|
+| 1025|[PRIS-CV/DemoFusion](https://github.com/PRIS-CV/DemoFusion) |Let us democratise high-resolution generation! (arXiv 2023)|
| 1026|[microsoft/aici](https://github.com/microsoft/aici) |AICI: Prompts as (Wasm) Programs|
| 1027|[bghira/SimpleTuner](https://github.com/bghira/SimpleTuner) |A general fine-tuning kit geared toward Stable Diffusion 2.1, Stable Diffusion 3, DeepFloyd, and SDXL.|
| 1028|[liltom-eth/llama2-webui](https://github.com/liltom-eth/llama2-webui) |Run Llama 2 locally with gradio UI on GPU or CPU from anywhere (Linux/Windows/Mac). Supporting Llama-2-7B/13B/70B with 8-bit, 4-bit. Supporting GPU inference (6 GB VRAM) and CPU inference.|
@@ -1074,23 +1074,23 @@
| 1042|[YangLing0818/RPG-DiffusionMaster](https://github.com/YangLing0818/RPG-DiffusionMaster) |Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs (PRG)|
| 1043|[InstantStyle/InstantStyle](https://github.com/InstantStyle/InstantStyle) |InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation 🔥|
| 1044|[pytorch/ao](https://github.com/pytorch/ao) |PyTorch native quantization and sparsity for training and inference|
-| 1045|[microsoft/sample-app-aoai-chatGPT](https://github.com/microsoft/sample-app-aoai-chatGPT) |[PREVIEW] Sample code for a simple web chat experience targeting chatGPT through AOAI.|
-| 1046|[The-OpenROAD-Project/OpenROAD](https://github.com/The-OpenROAD-Project/OpenROAD) |OpenROAD's unified application implementing an RTL-to-GDS Flow. Documentation at https://openroad.readthedocs.io/en/latest/|
+| 1045|[The-OpenROAD-Project/OpenROAD](https://github.com/The-OpenROAD-Project/OpenROAD) |OpenROAD's unified application implementing an RTL-to-GDS Flow. Documentation at https://openroad.readthedocs.io/en/latest/|
+| 1046|[microsoft/sample-app-aoai-chatGPT](https://github.com/microsoft/sample-app-aoai-chatGPT) |[PREVIEW] Sample code for a simple web chat experience targeting chatGPT through AOAI.|
| 1047|[flowdriveai/flowpilot](https://github.com/flowdriveai/flowpilot) |flow-pilot is an openpilot based driver assistance system that runs on linux, windows and android powered machines.|
-| 1048|[microsoft/PromptWizard](https://github.com/microsoft/PromptWizard) |Task-Aware Agent-driven Prompt Optimization Framework|
-| 1049|[baaivision/Emu](https://github.com/baaivision/Emu) |Emu Series: Generative Multimodal Models from BAAI|
-| 1050|[linyiLYi/snake-ai](https://github.com/linyiLYi/snake-ai) |An AI agent that beats the classic game "Snake".|
-| 1051|[eloialonso/diamond](https://github.com/eloialonso/diamond) |DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model.|
-| 1052|[landing-ai/vision-agent](https://github.com/landing-ai/vision-agent) |Vision agent|
-| 1053|[olimorris/codecompanion.nvim](https://github.com/olimorris/codecompanion.nvim) |✨ AI-powered coding, seamlessly in Neovim. Supports Anthropic, Copilot, Gemini, Ollama, OpenAI and xAI LLMs|
+| 1048|[microsoft/PromptWizard](https://github.com/microsoft/PromptWizard) |Task-Aware Agent-driven Prompt Optimization Framework|
+| 1049|[baaivision/Emu](https://github.com/baaivision/Emu) |Emu Series: Generative Multimodal Models from BAAI|
+| 1050|[linyiLYi/snake-ai](https://github.com/linyiLYi/snake-ai) |An AI agent that beats the classic game "Snake".|
+| 1051|[eloialonso/diamond](https://github.com/eloialonso/diamond) |DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model.|
+| 1052|[landing-ai/vision-agent](https://github.com/landing-ai/vision-agent) |Vision agent|
+| 1053|[olimorris/codecompanion.nvim](https://github.com/olimorris/codecompanion.nvim) |✨ AI-powered coding, seamlessly in Neovim. Supports Anthropic, Copilot, Gemini, Ollama, OpenAI and xAI LLMs|
| 1054|[google/maxtext](https://github.com/google/maxtext) |A simple, performant and scalable Jax LLM!|
| 1055|[collabora/WhisperFusion](https://github.com/collabora/WhisperFusion) |WhisperFusion builds upon the capabilities of WhisperLive and WhisperSpeech to provide a seamless conversations with an AI.|
| 1056|[naver/mast3r](https://github.com/naver/mast3r) |Grounding Image Matching in 3D with MASt3R|
| 1057|[lichao-sun/Mora](https://github.com/lichao-sun/Mora) |Mora: More like Sora for Generalist Video Generation|
| 1058|[GoogleCloudPlatform/localllm](https://github.com/GoogleCloudPlatform/localllm) |Run LLMs locally on Cloud Workstations|
-| 1059|[TencentARC/BrushNet](https://github.com/TencentARC/BrushNet) |The official implementation of paper "BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion"|
-| 1060|[xlang-ai/OSWorld](https://github.com/xlang-ai/OSWorld) |OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments|
-| 1061|[SharifiZarchi/Introduction_to_Machine_Learning](https://github.com/SharifiZarchi/Introduction_to_Machine_Learning) |دورهی مقدمهای بر یادگیری ماشین، برای دانشجویان|
+| 1059|[TencentARC/BrushNet](https://github.com/TencentARC/BrushNet) |The official implementation of paper "BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion"|
+| 1060|[SharifiZarchi/Introduction_to_Machine_Learning](https://github.com/SharifiZarchi/Introduction_to_Machine_Learning) |دورهی مقدمهای بر یادگیری ماشین، برای دانشجویان|
+| 1061|[xlang-ai/OSWorld](https://github.com/xlang-ai/OSWorld) |OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments|
| 1062|[andrewnguonly/Lumos](https://github.com/andrewnguonly/Lumos) |A RAG LLM co-pilot for browsing the web, powered by local LLMs|
| 1063|[AnswerDotAI/fsdp_qlora](https://github.com/AnswerDotAI/fsdp_qlora) |Training LLMs with QLoRA + FSDP|
| 1064|[mhamilton723/FeatUp](https://github.com/mhamilton723/FeatUp) |Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024|
@@ -1101,7 +1101,7 @@
| 1069|[lucidrains/self-rewarding-lm-pytorch](https://github.com/lucidrains/self-rewarding-lm-pytorch) |Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI|
| 1070|[microsoft/RD-Agent](https://github.com/microsoft/RD-Agent) |Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automate these high-value generic R&D processes through our open source R&D automation tool RD-Agent, which let AI drive data-driven AI.|
| 1071|[PKU-YuanGroup/MagicTime](https://github.com/PKU-YuanGroup/MagicTime) |MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators|
-| 1072|[ishaan1013/sandbox](https://github.com/ishaan1013/sandbox) |A cloud-based code editing environment with an AI copilot and real-time collaboration.|
+| 1072|[ishaan1013/sandbox](https://github.com/ishaan1013/sandbox) |A cloud-based code editing environment with an AI copilot and real-time collaboration.|
| 1073|[a-real-ai/pywinassistant](https://github.com/a-real-ai/pywinassistant) |The first open source Large Action Model generalist Artificial Narrow Intelligence that controls completely human user interfaces by only using natural language. PyWinAssistant utilizes Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models.|
| 1074|[microsoft/vscode-ai-toolkit](https://github.com/microsoft/vscode-ai-toolkit) ||
| 1075|[goatcorp/Dalamud](https://github.com/goatcorp/Dalamud) |FFXIV plugin framework and API|
@@ -1117,12 +1117,12 @@
| 1085|[langchain-ai/langchain-extract](https://github.com/langchain-ai/langchain-extract) |🦜⛏️ Did you say you like data?|
| 1086|[unitreerobotics/unitree_rl_gym](https://github.com/unitreerobotics/unitree_rl_gym) ||
| 1087|[PaddlePaddle/PaddleHelix](https://github.com/PaddlePaddle/PaddleHelix) |Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集|
-| 1088|[skills/copilot-codespaces-vscode](https://github.com/skills/copilot-codespaces-vscode) |Develop with AI-powered code suggestions using GitHub Copilot and VS Code|
+| 1088|[skills/copilot-codespaces-vscode](https://github.com/skills/copilot-codespaces-vscode) |Develop with AI-powered code suggestions using GitHub Copilot and VS Code|
| 1089|[zju3dv/EasyVolcap](https://github.com/zju3dv/EasyVolcap) |[SIGGRAPH Asia 2023 (Technical Communications)] EasyVolcap: Accelerating Neural Volumetric Video Research|
| 1090|[likejazz/llama3.np](https://github.com/likejazz/llama3.np) |llama3.np is pure NumPy implementation for Llama 3 model.|
-| 1091|[myshell-ai/JetMoE](https://github.com/myshell-ai/JetMoE) |Reaching LLaMA2 Performance with 0.1M Dollars|
-| 1092|[stephansturges/WALDO](https://github.com/stephansturges/WALDO) |Whereabouts Ascertainment for Low-lying Detectable Objects. The SOTA in FOSS AI for drones!|
-| 1093|[mustafaaljadery/gemma-2B-10M](https://github.com/mustafaaljadery/gemma-2B-10M) |Gemma 2B with 10M context length using Infini-attention.|
+|⭐ 1091|[stephansturges/WALDO](https://github.com/stephansturges/WALDO) |Whereabouts Ascertainment for Low-lying Detectable Objects. The SOTA in FOSS AI for drones!|
+| 1092|[myshell-ai/JetMoE](https://github.com/myshell-ai/JetMoE) |Reaching LLaMA2 Performance with 0.1M Dollars|
+| 1093|[mustafaaljadery/gemma-2B-10M](https://github.com/mustafaaljadery/gemma-2B-10M) |Gemma 2B with 10M context length using Infini-attention.|
**Tip:**
| symbol| rule |
diff --git a/README.zh-CN.md b/README.zh-CN.md
index 86c7cece..31d00231 100644
--- a/README.zh-CN.md
+++ b/README.zh-CN.md
@@ -12,7 +12,7 @@
@@ -30,349 +30,349 @@
|
|此存储库包括 ChatGPT 提示词，以更好地使用 ChatGPT|
+| 10|[AUTOMATIC1111/stable-diffusion-webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui) |稳定扩散网络用户界面|
+| 11|[huggingface/transformers](https://github.com/huggingface/transformers) |🤗 Transformers：Pytorch、TensorFlow和JAX的最先进机器学习技术。|
+| 12|[f/awesome-chatgpt-prompts](https://github.com/f/awesome-chatgpt-prompts)  |此存储库包括 ChatGPT 提示词，以更好地使用 ChatGPT|
| 13|[justjavac/free-programming-books-zh_CN](https://github.com/justjavac/free-programming-books-zh_CN) |📚 Free computer programming books in Chinese, submissions welcome.|
-| 14|[krahets/hello-algo](https://github.com/krahets/hello-algo) |《Hello 算法》：动画图解、一键运行的数据结构与算法教程，支持 Java, C, Python, Go, JS, TS, C#, Swift, Rust, Dart, Zig 等语言。|
-| 15|[ollama/ollama](https://github.com/ollama/ollama) |开始使用Llama 2、Mistral和其他大型语言模型。|
-| 16|[goldbergyoni/nodebestpractices](https://github.com/goldbergyoni/nodebestpractices) |抱歉，我无法提供关于2024年7月的Node.js最佳实践清单的翻译。我的知识截止日期是2021年9月1日，无法提供关于2024年的信息。|
-| 17|[langchain-ai/langchain](https://github.com/langchain-ai/langchain) |⚡ 通过可组合性构建LLMs的应用程序 ⚡|
-| 18|[yt-dlp/yt-dlp](https://github.com/yt-dlp/yt-dlp) |一个功能丰富的命令行音视频下载器。|
-| 19|[puppeteer/puppeteer](https://github.com/puppeteer/puppeteer) |Chrome 和 Firefox 的 JavaScript API。|
-| 20|[mtdvio/every-programmer-should-know](https://github.com/mtdvio/every-programmer-should-know) |每位软件开发人员都应该了解的（大部分是）技术内容的集合。|
+| 14|[krahets/hello-algo](https://github.com/krahets/hello-algo) |《Hello 算法》：动画图解、一键运行的数据结构与算法教程，支持 Java, C, Python, Go, JS, TS, C#, Swift, Rust, Dart, Zig 等语言。|
+| 15|[ollama/ollama](https://github.com/ollama/ollama) |开始使用Llama 2、Mistral和其他大型语言模型。|
+| 16|[goldbergyoni/nodebestpractices](https://github.com/goldbergyoni/nodebestpractices) |抱歉，我无法提供关于2024年7月的Node.js最佳实践清单的翻译。我的知识截止日期是2021年9月1日，无法提供关于2024年的信息。|
+| 17|[langchain-ai/langchain](https://github.com/langchain-ai/langchain) |⚡ 通过可组合性构建LLMs的应用程序 ⚡|
+| 18|[yt-dlp/yt-dlp](https://github.com/yt-dlp/yt-dlp) |一个功能丰富的命令行音视频下载器。|
+| 19|[puppeteer/puppeteer](https://github.com/puppeteer/puppeteer) |Chrome 和 Firefox 的 JavaScript API。|
+| 20|[mtdvio/every-programmer-should-know](https://github.com/mtdvio/every-programmer-should-know) |每位软件开发人员都应该了解的（大部分是）技术内容的集合。|
| 21|[pytorch/pytorch](https://github.com/pytorch/pytorch) |在Python中具有强大GPU加速的张量和动态神经网络|
-| 22|[neovim/neovim](https://github.com/neovim/neovim) |Vim-fork专注于可扩展性和易用性。|
-| 23|[ChatGPTNextWeb/ChatGPT-Next-Web](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web) |一个跨平台的 ChatGPT/Gemini 用户界面（Web / PWA / Linux / Win / MacOS）。 一键拥有你自己的跨平台 ChatGPT/Gemini 应用。|
-| 24|[tensorflow/models](https://github.com/tensorflow/models) |使用TensorFlow构建的模型和示例|
-| 25|[supabase/supabase](https://github.com/supabase/supabase) |开源的 Firebase 替代方案。|
-| 26|[home-assistant/core](https://github.com/home-assistant/core) |🏡 开源家庭自动化，注重本地控制和隐私保护。|
-| 27|[openai/whisper](https://github.com/openai/whisper) |大规模弱监督下的强大语音识别|
-| 28|[3b1b/manim](https://github.com/3b1b/manim) |用于解释数学视频的动画引擎|
+| 22|[neovim/neovim](https://github.com/neovim/neovim) |Vim-fork专注于可扩展性和易用性。|
+| 23|[ChatGPTNextWeb/ChatGPT-Next-Web](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web) |一个跨平台的 ChatGPT/Gemini 用户界面（Web / PWA / Linux / Win / MacOS）。 一键拥有你自己的跨平台 ChatGPT/Gemini 应用。|
+| 24|[tensorflow/models](https://github.com/tensorflow/models) |使用TensorFlow构建的模型和示例|
+| 25|[supabase/supabase](https://github.com/supabase/supabase) |开源的 Firebase 替代方案。|
+|⭐ 26|[home-assistant/core](https://github.com/home-assistant/core) |🏡 开源家庭自动化，注重本地控制和隐私保护。|
+| 27|[openai/whisper](https://github.com/openai/whisper) |大规模弱监督下的强大语音识别|
+| 28|[3b1b/manim](https://github.com/3b1b/manim) |用于解释数学视频的动画引擎|
| 29|[nomic-ai/gpt4all](https://github.com/nomic-ai/gpt4all)  |gpt4all：一个基于大规模干净助手数据集（包括代码、故事和对话）训练的开源聊天机器人生态系统。|
| 30|[elastic/elasticsearch](https://github.com/elastic/elasticsearch) |自由开放、分布式、RESTful 搜索引擎|
-| 31|[fighting41love/funNLP](https://github.com/fighting41love/funNLP) |NLP民工的乐园: 几乎最全的中文NLP资源库|
-| 32| [ggerganov/llama.cpp](https://github.com/ggerganov/llama.cpp)  | 使用C/C++进行LLaMA模型的推理 |
-| 33|[bregman-arie/devops-exercises](https://github.com/bregman-arie/devops-exercises) |Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps 面试问题|
+| 31|[fighting41love/funNLP](https://github.com/fighting41love/funNLP) |NLP民工的乐园: 几乎最全的中文NLP资源库|
+| 32| [ggerganov/llama.cpp](https://github.com/ggerganov/llama.cpp)  | 使用C/C++进行LLaMA模型的推理 |
+| 33|[bregman-arie/devops-exercises](https://github.com/bregman-arie/devops-exercises) |Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps 面试问题|
| 34|[binary-husky/gpt_academic](https://github.com/binary-husky/gpt_academic) |为ChatGPT/GLM提供图形交互界面，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm2等本地模型。兼容文心一言，moss，llama2，rwkv，claude2，通义千问，书生，讯飞星火等。|
-| 35|[josephmisiti/awesome-machine-learning](https://github.com/josephmisiti/awesome-machine-learning) |一个精选的优秀机器学习框架、库和软件列表。|
-| 36|[abi/screenshot-to-code](https://github.com/abi/screenshot-to-code) |将屏幕截图放入并将其转换为干净的HTML/Tailwind/JS代码。|
+| 35|[josephmisiti/awesome-machine-learning](https://github.com/josephmisiti/awesome-machine-learning) |一个精选的优秀机器学习框架、库和软件列表。|
+| 36|[abi/screenshot-to-code](https://github.com/abi/screenshot-to-code) |将屏幕截图放入并将其转换为干净的HTML/Tailwind/JS代码。|
| 37|[hoppscotch/hoppscotch](https://github.com/hoppscotch/hoppscotch) |Hoppscotch是一个开源的API开发生态系统，它是Postman和Insomnia的开源替代品。你可以在https://hoppscotch.io上了解更多信息。|
-| 38|[microsoft/generative-ai-for-beginners](https://github.com/microsoft/generative-ai-for-beginners) |12个课程，开始使用生成式人工智能进行构建 🔗 https://microsoft.github.io/generative-ai-for-beginners/|
+| 38|[microsoft/generative-ai-for-beginners](https://github.com/microsoft/generative-ai-for-beginners) |12个课程，开始使用生成式人工智能进行构建 🔗 https://microsoft.github.io/generative-ai-for-beginners/|
| 39|[grafana/grafana](https://github.com/grafana/grafana) |这是翻译后的内容：这是一个开放且可组合的可观测性和数据可视化平台。可以从多个来源（如Prometheus、Loki、Elasticsearch、InfluxDB、Postgres等）可视化指标、日志和跟踪信息。|
| 40|[d2l-ai/d2l-zh](https://github.com/d2l-ai/d2l-zh) |"动手学深度学习"：适合中文读者、可执行、可交流。该书中英文版已被500多所大学在70多个国家用于教学。|
-| 41|[python/cpython](https://github.com/python/cpython) |Python编程语言|
-| 42|[apache/superset](https://github.com/apache/superset) |Apache Superset 是一个数据可视化和数据探索平台。|
+| 41|[python/cpython](https://github.com/python/cpython) |Python编程语言|
+| 42|[apache/superset](https://github.com/apache/superset) |Apache Superset 是一个数据可视化和数据探索平台。|
| 43|[xtekky/gpt4free](https://github.com/xtekky/gpt4free)  |将AI行业分散化，通过多个反向工程API（如poe.com、phind.com、chat.openai.com等）提供免费的GPT-4 / 3.5脚本。|
-| 44|[twitter/the-algorithm](https://github.com/twitter/the-algorithm)  |Twitter的推荐算法源代码|
-| 45|[comfyanonymous/ComfyUI](https://github.com/comfyanonymous/ComfyUI) |最强大且模块化的扩散模型图形用户界面、API 和后端，配备图/节点接口。|
+| 44|[twitter/the-algorithm](https://github.com/twitter/the-algorithm)  |Twitter的推荐算法源代码|
+| 45|[comfyanonymous/ComfyUI](https://github.com/comfyanonymous/ComfyUI) |最强大且模块化的扩散模型图形用户界面、API 和后端，配备图/节点接口。|
| 46|[keras-team/keras](https://github.com/keras-team/keras) |人类的深度学习|
-| 47|[sherlock-project/sherlock](https://github.com/sherlock-project/sherlock) |跨社交网络通过用户名查找社交媒体账户|
-| 48|[openai/openai-cookbook](https://github.com/openai/openai-cookbook)  |使用OpenAI API的示例和指南|
+| 47|[sherlock-project/sherlock](https://github.com/sherlock-project/sherlock) |跨社交网络通过用户名查找社交媒体账户|
+| 48|[openai/openai-cookbook](https://github.com/openai/openai-cookbook)  |使用OpenAI API的示例和指南|
| 49|[scikit-learn/scikit-learn](https://github.com/scikit-learn/scikit-learn) |scikit-learn：Python中的机器学习|
-| 50|[binhnguyennus/awesome-scalability](https://github.com/binhnguyennus/awesome-scalability) |可扩展、可靠、高性能大规模系统的模式|
-| 51|[AppFlowy-IO/AppFlowy](https://github.com/AppFlowy-IO/AppFlowy) |将项目、维基和团队与 AI 结合起来。AppFlowy 是一个 AI 协作工作区，让你在不失去数据控制的情况下实现更多。Notion 的最佳开源替代品。|
-| 52|[OpenInterpreter/open-interpreter](https://github.com/OpenInterpreter/open-interpreter) |计算机的自然语言界面|
-| 53|[labmlai/annotated_deep_learning_paper_implementations](https://github.com/labmlai/annotated_deep_learning_paper_implementations) |🧑🏫 59个深度学习论文的实现/教程，并附带并列注释📝；包括变换器（原始，xl，switch，feedback，vit，...），优化器（adam，adabelief，...），生成对抗网络（cyclegan，stylegan2，...），🎮强化学习（ppo，dqn），capsnet，蒸馏，...🧠|
-| 54|[langgenius/dify](https://github.com/langgenius/dify)  |一套API用于插件和数据集,一套接口用于提示工程和可视化操作,所有这些都是为了创建强大的AI应用程序|
-| 55|[meta-llama/llama](https://github.com/meta-llama/llama) |Llama模型的推理代码|
-| 56|[immich-app/immich](https://github.com/immich-app/immich) |高性能自托管照片和视频管理解决方案。|
+| 50|[binhnguyennus/awesome-scalability](https://github.com/binhnguyennus/awesome-scalability) |可扩展、可靠、高性能大规模系统的模式|
+| 51|[AppFlowy-IO/AppFlowy](https://github.com/AppFlowy-IO/AppFlowy) |将项目、维基和团队与 AI 结合起来。AppFlowy 是一个 AI 协作工作区，让你在不失去数据控制的情况下实现更多。Notion 的最佳开源替代品。|
+| 52|[OpenInterpreter/open-interpreter](https://github.com/OpenInterpreter/open-interpreter) |计算机的自然语言界面|
+| 53|[labmlai/annotated_deep_learning_paper_implementations](https://github.com/labmlai/annotated_deep_learning_paper_implementations) |🧑🏫 59个深度学习论文的实现/教程，并附带并列注释📝；包括变换器（原始，xl，switch，feedback，vit，...），优化器（adam，adabelief，...），生成对抗网络（cyclegan，stylegan2，...），🎮强化学习（ppo，dqn），capsnet，蒸馏，...🧠|
+| 54|[langgenius/dify](https://github.com/langgenius/dify)  |一套API用于插件和数据集,一套接口用于提示工程和可视化操作,所有这些都是为了创建强大的AI应用程序|
+| 55|[meta-llama/llama](https://github.com/meta-llama/llama) |Llama模型的推理代码|
+| 56|[immich-app/immich](https://github.com/immich-app/immich) |高性能自托管照片和视频管理解决方案。|
| 57|[nuxt/nuxt](https://github.com/nuxt/nuxt) |直观的Vue框架。|
-| 58|[open-webui/open-webui](https://github.com/open-webui/open-webui) |LLM的用户友好型WebUI（前身为Ollama WebUI）|
-| 59|[imartinez/privateGPT](https://github.com/imartinez/privateGPT) |使用GPT的强大功能，100％私密地与您的文档进行私密交互，无数据泄漏。|
-| 60|[ageitgey/face_recognition](https://github.com/ageitgey/face_recognition) |Python 和命令行下最简单的人脸识别 API。|
-| 61|[n8n-io/n8n](https://github.com/n8n-io/n8n) |免费且开放源代码的公平代码许可工作流自动化工具。轻松实现跨不同服务的任务自动化。|
-| 62|[PlexPt/awesome-chatgpt-prompts-zh](https://github.com/PlexPt/awesome-chatgpt-prompts-zh) |ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。|
+| 58|[open-webui/open-webui](https://github.com/open-webui/open-webui) |LLM的用户友好型WebUI（前身为Ollama WebUI）|
+| 59|[imartinez/privateGPT](https://github.com/imartinez/privateGPT) |使用GPT的强大功能，100％私密地与您的文档进行私密交互，无数据泄漏。|
+| 60|[ageitgey/face_recognition](https://github.com/ageitgey/face_recognition) |Python 和命令行下最简单的人脸识别 API。|
+| 61|[n8n-io/n8n](https://github.com/n8n-io/n8n) |免费且开放源代码的公平代码许可工作流自动化工具。轻松实现跨不同服务的任务自动化。|
+| 62|[PlexPt/awesome-chatgpt-prompts-zh](https://github.com/PlexPt/awesome-chatgpt-prompts-zh) |ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。|
| 63|[lencx/ChatGPT](https://github.com/lencx/ChatGPT) |🔮 ChatGPT桌面应用程序（Mac、Windows和Linux）|
-| 64|[CorentinJ/Real-Time-Voice-Cloning](https://github.com/CorentinJ/Real-Time-Voice-Cloning) |在5秒钟内克隆一个声音，实时生成任意语音。|
+| 64|[CorentinJ/Real-Time-Voice-Cloning](https://github.com/CorentinJ/Real-Time-Voice-Cloning) |在5秒钟内克隆一个声音，实时生成任意语音。|
| 65|[deepfakes/faceswap](https://github.com/deepfakes/faceswap) |深度伪造软件面向所有人|
-| 66|[gpt-engineer-org/gpt-engineer](https://github.com/gpt-engineer-org/gpt-engineer) |指定你想要建造的东西，人工智能会要求澄清，然后进行建造。|
-| 67|[dair-ai/Prompt-Engineering-Guide](https://github.com/dair-ai/Prompt-Engineering-Guide)  |关于Prompt Engineering（提示工程）的指南、论文、讲座、笔记和资源|
-| 68|[commaai/openpilot](https://github.com/commaai/openpilot) |openpilot是一个开源的驾驶辅助系统。openpilot可以为超过200种支持的汽车品牌和型号提供自动车道居中和自适应巡航控制的功能。|
-| 69|[lobehub/lobe-chat](https://github.com/lobehub/lobe-chat) |🤖 Lobe Chat - 一个开源、可扩展（函数调用）、高性能的聊天机器人框架。它支持一键免费部署您的私人ChatGPT/LLM网络应用程序。|
-| 70|[xai-org/grok-1](https://github.com/xai-org/grok-1) |Grok-1 公开发布|
-| 71|[jgthms/bulma](https://github.com/jgthms/bulma) |现代CSS框架基于Flexbox。|
+| 66|[gpt-engineer-org/gpt-engineer](https://github.com/gpt-engineer-org/gpt-engineer) |指定你想要建造的东西，人工智能会要求澄清，然后进行建造。|
+| 67|[dair-ai/Prompt-Engineering-Guide](https://github.com/dair-ai/Prompt-Engineering-Guide)  |关于Prompt Engineering（提示工程）的指南、论文、讲座、笔记和资源|
+| 68|[commaai/openpilot](https://github.com/commaai/openpilot) |openpilot是一个开源的驾驶辅助系统。openpilot可以为超过200种支持的汽车品牌和型号提供自动车道居中和自适应巡航控制的功能。|
+| 69|[lobehub/lobe-chat](https://github.com/lobehub/lobe-chat) |🤖 Lobe Chat - 一个开源、可扩展（函数调用）、高性能的聊天机器人框架。它支持一键免费部署您的私人ChatGPT/LLM网络应用程序。|
+| 70|[xai-org/grok-1](https://github.com/xai-org/grok-1) |Grok-1 公开发布|
+| 71|[jgthms/bulma](https://github.com/jgthms/bulma) |现代CSS框架基于Flexbox。|
| 72|[meilisearch/meilisearch](https://github.com/meilisearch/meilisearch) |一个快速高效的搜索 API，完美地融入您的应用程序、网站和工作流程中。|
-| 73|[Stirling-Tools/Stirling-PDF](https://github.com/Stirling-Tools/Stirling-PDF) |这是一个本地托管的网络应用程序，可以让您对PDF文件执行各种操作。|
-| 74|[facebookresearch/segment-anything](https://github.com/facebookresearch/segment-anything) |该存储库提供了使用SegmentAnything模型（SAM）运行推断的代码，链接用于下载经过训练的模型检查点，以及展示如何使用该模型的示例笔记本。|
-| 75|[geekan/MetaGPT](https://github.com/geekan/MetaGPT) |多智能体元编程框架：根据一行需求，返回产品需求文档（PRD）、设计、任务列表和代码仓库。|
-| 76|[Avik-Jain/100-Days-Of-ML-Code](https://github.com/Avik-Jain/100-Days-Of-ML-Code) |100天机器学习编码挑战|
-| 77|[v2ray/v2ray-core](https://github.com/v2ray/v2ray-core) |请将下面内容翻译成中文并只返回翻译后的内容: A platform for building proxies to bypass network restrictions.|
-| 78|[PaddlePaddle/PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR) |基于 PaddlePaddle 的强大多语言 OCR 工具包（实用的超轻量级 OCR 系统，支持 80 种语言识别，提供数据标注和合成工具，支持在服务器、移动设备、嵌入式和物联网设备上进行训练和部署）。|
-| 79|[alist-org/alist](https://github.com/alist-org/alist) |这段内容的翻译是：🗂️一个支持多存储的文件列表/WebDAV程序，使用 Gin 和 Solidjs。|
-| 80|[type-challenges/type-challenges](https://github.com/type-challenges/type-challenges) |使用在线评测器的 TypeScript 类型挑战集合|
-| 81|[clash-verge-rev/clash-verge-rev](https://github.com/clash-verge-rev/clash-verge-rev) |基于 Tauri 的 Clash Verge - 一个 Clash 元 GUI 的延续（Windows、MacOS、Linux）|
-| 82|[Asabeneh/30-Days-Of-Python](https://github.com/Asabeneh/30-Days-Of-Python) |30天Python编程挑战是学习Python编程语言的逐步指南，需要超过100天，可以根据自己的节奏进行。这些视频也可能会有所帮助：https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw|
-| 83|[lllyasviel/Fooocus](https://github.com/lllyasviel/Fooocus) |专注于提示和生成。|
+| 73|[Stirling-Tools/Stirling-PDF](https://github.com/Stirling-Tools/Stirling-PDF) |这是一个本地托管的网络应用程序，可以让您对PDF文件执行各种操作。|
+| 74|[facebookresearch/segment-anything](https://github.com/facebookresearch/segment-anything) |该存储库提供了使用SegmentAnything模型（SAM）运行推断的代码，链接用于下载经过训练的模型检查点，以及展示如何使用该模型的示例笔记本。|
+| 75|[geekan/MetaGPT](https://github.com/geekan/MetaGPT) |多智能体元编程框架：根据一行需求，返回产品需求文档（PRD）、设计、任务列表和代码仓库。|
+| 76|[Avik-Jain/100-Days-Of-ML-Code](https://github.com/Avik-Jain/100-Days-Of-ML-Code) |100天机器学习编码挑战|
+| 77|[v2ray/v2ray-core](https://github.com/v2ray/v2ray-core) |请将下面内容翻译成中文并只返回翻译后的内容: A platform for building proxies to bypass network restrictions.|
+| 78|[PaddlePaddle/PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR) |基于 PaddlePaddle 的强大多语言 OCR 工具包（实用的超轻量级 OCR 系统，支持 80 种语言识别，提供数据标注和合成工具，支持在服务器、移动设备、嵌入式和物联网设备上进行训练和部署）。|
+| 79|[alist-org/alist](https://github.com/alist-org/alist) |这段内容的翻译是：🗂️一个支持多存储的文件列表/WebDAV程序，使用 Gin 和 Solidjs。|
+| 80|[clash-verge-rev/clash-verge-rev](https://github.com/clash-verge-rev/clash-verge-rev) |基于 Tauri 的 Clash Verge - 一个 Clash 元 GUI 的延续（Windows、MacOS、Linux）|
+| 81|[type-challenges/type-challenges](https://github.com/type-challenges/type-challenges) |使用在线评测器的 TypeScript 类型挑战集合|
+| 82|[Asabeneh/30-Days-Of-Python](https://github.com/Asabeneh/30-Days-Of-Python) |30天Python编程挑战是学习Python编程语言的逐步指南，需要超过100天，可以根据自己的节奏进行。这些视频也可能会有所帮助：https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw|
+| 83|[lllyasviel/Fooocus](https://github.com/lllyasviel/Fooocus) |专注于提示和生成。|
| 84|[hacksider/Deep-Live-Cam](https://github.com/hacksider/Deep-Live-Cam) |实时换脸和一键视频深度伪造，仅需一张图片（未经审查）|
-| 85|[langflow-ai/langflow](https://github.com/langflow-ai/langflow) |Langflow是一个用于构建多Agent和RAG（Retrieval-Augmented Generation）应用程序的可视化框架。它是开源的，由Python驱动，完全可定制，并且与模型和向量存储无关。|
-| 86|[oobabooga/text-generation-webui](https://github.com/oobabooga/text-generation-webui)  |一个Gradio Web UI，用于运行像LLaMA、llama.cpp、GPT-J、OPT和GALACTICA这样的大型语言模型|
+| 85|[langflow-ai/langflow](https://github.com/langflow-ai/langflow) |Langflow是一个用于构建多Agent和RAG（Retrieval-Augmented Generation）应用程序的可视化框架。它是开源的，由Python驱动，完全可定制，并且与模型和向量存储无关。|
+| 86|[oobabooga/text-generation-webui](https://github.com/oobabooga/text-generation-webui)  |一个Gradio Web UI，用于运行像LLaMA、llama.cpp、GPT-J、OPT和GALACTICA这样的大型语言模型|
| 87|[jeecgboot/JeecgBoot](https://github.com/jeecgboot/JeecgBoot) |「企业级低代码平台」采用前后端分离架构，使用SpringBoot 2.x/3.x，SpringCloud，Ant Design&Vue3，Mybatis，Shiro和JWT。强大的代码生成器可一键生成前后端代码，无需手动编写任何代码！这种新的开发模式涵盖了OnlineCoding、代码生成以及手工合并，在帮助Java项目解决70%重复工作的同时，使开发人员更专注于业务逻辑。它不仅能够快速提高效率、节省公司成本，还能保持灵活性。|
-| 88|[THUDM/ChatGLM-6B](https://github.com/THUDM/ChatGLM-6B)  |这是一个介绍名为ChatGLM-6B的双语对话语言模型的文章，这个模型是开源的。|
-| 89|[mlabonne/llm-course](https://github.com/mlabonne/llm-course) |课程提供了学习进入大型语言模型（LLM）的路线图和笔记本。|
-| 90|[dani-garcia/vaultwarden](https://github.com/dani-garcia/vaultwarden) |这是一个非官方的用Rust编写的与Bitwarden兼容的服务器，以前被称为bitwarden_rs。|
-| 91|[All-Hands-AI/OpenHands](https://github.com/All-Hands-AI/OpenHands) |🙌 张开双手：编码更少，创造更多|
-| 92|[mingrammer/diagrams](https://github.com/mingrammer/diagrams) |🎨 以代码形式绘制图表，用于原型设计云系统架构|
+| 88|[THUDM/ChatGLM-6B](https://github.com/THUDM/ChatGLM-6B)  |这是一个介绍名为ChatGLM-6B的双语对话语言模型的文章，这个模型是开源的。|
+| 89|[mlabonne/llm-course](https://github.com/mlabonne/llm-course) |课程提供了学习进入大型语言模型（LLM）的路线图和笔记本。|
+| 90|[dani-garcia/vaultwarden](https://github.com/dani-garcia/vaultwarden) |这是一个非官方的用Rust编写的与Bitwarden兼容的服务器，以前被称为bitwarden_rs。|
+|⭐ 91|[All-Hands-AI/OpenHands](https://github.com/All-Hands-AI/OpenHands) |🙌 张开双手：编码更少，创造更多|
+| 92|[mingrammer/diagrams](https://github.com/mingrammer/diagrams) |🎨 以代码形式绘制图表，用于原型设计云系统架构|
| 93|[fastlane/fastlane](https://github.com/fastlane/fastlane) |🚀 自动构建和发布您的 iOS 和 Android 应用程序的最简单方法|
-| 94|[Stability-AI/stablediffusion](https://github.com/Stability-AI/stablediffusion) |高分辨率图像合成与潜在扩散模型|
+| 94|[Stability-AI/stablediffusion](https://github.com/Stability-AI/stablediffusion) |高分辨率图像合成与潜在扩散模型|
| 95|[getsentry/sentry](https://github.com/getsentry/sentry) |开发者优先的错误追踪和性能监控|
| 96|[psf/black](https://github.com/psf/black) |坚定不移的Python代码格式化工具|
| 97|[hpcaitech/ColossalAI](https://github.com/hpcaitech/ColossalAI) |使大型人工智能模型更便宜、更快速和更易获取。|
-| 98| [karpathy/nanoGPT](https://github.com/karpathy/nanoGPT)  |最简单、最快的中等规模GPT训练/微调存储库|
-| 99|[RVC-Boss/GPT-SoVITS](https://github.com/RVC-Boss/GPT-SoVITS) |1分钟的语音数据也可以用来训练一个优秀的文字转语音模型！（少样本语音克隆）|
-| 100|[apache/airflow](https://github.com/apache/airflow) |Apache Airflow - 一个用于以编程方式创建、调度和监控工作流的平台|
-| 101|[2dust/v2rayNG](https://github.com/2dust/v2rayNG) |一个适用于安卓设备的 V2Ray 客户端，支持 Xray 核心和 v2fly 核心。|
-| 102|[lm-sys/FastChat](https://github.com/lm-sys/FastChat)  |一个用于训练、服务和评估大型语言模型的开放平台。发布Vicuna和FastChat-T5的代码库。|
+| 98| [karpathy/nanoGPT](https://github.com/karpathy/nanoGPT)  |最简单、最快的中等规模GPT训练/微调存储库|
+| 99|[RVC-Boss/GPT-SoVITS](https://github.com/RVC-Boss/GPT-SoVITS) |1分钟的语音数据也可以用来训练一个优秀的文字转语音模型！（少样本语音克隆）|
+| 100|[apache/airflow](https://github.com/apache/airflow) |Apache Airflow - 一个用于以编程方式创建、调度和监控工作流的平台|
+| 101|[2dust/v2rayNG](https://github.com/2dust/v2rayNG) |一个适用于安卓设备的 V2Ray 客户端，支持 Xray 核心和 v2fly 核心。|
+| 102|[lm-sys/FastChat](https://github.com/lm-sys/FastChat)  |一个用于训练、服务和评估大型语言模型的开放平台。发布Vicuna和FastChat-T5的代码库。|
| 103|[hiyouga/LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory) |易于使用的LLM微调框架（LLaMA、BLOOM、Mistral、Baichuan、Qwen、ChatGLM）|
-| 104|[rasbt/LLMs-from-scratch](https://github.com/rasbt/LLMs-from-scratch) |从头开始逐步实现类似ChatGPT的LLM|
-| 105|[LAION-AI/Open-Assistant](https://github.com/LAION-AI/Open-Assistant)  |OpenAssistant是一种基于聊天的助手，它能够理解任务、与第三方系统进行交互，并动态地检索信息以执行任务|
+| 104|[rasbt/LLMs-from-scratch](https://github.com/rasbt/LLMs-from-scratch) |从头开始逐步实现类似ChatGPT的LLM|
+| 105|[LAION-AI/Open-Assistant](https://github.com/LAION-AI/Open-Assistant)  |OpenAssistant是一种基于聊天的助手，它能够理解任务、与第三方系统进行交互，并动态地检索信息以执行任务|
| 106|[QuivrHQ/quivr](https://github.com/QuivrHQ/quivr) |你的GenAI第二大脑 🧠 个人生产力助手（RAG）⚡️🤖 使用Langchain、GPT 3.5 / 4 turbo等，与您的文档（PDF、CSV等）和应用程序聊天。私人、人类中心、VertexAI、Ollama、LLMs 提供的工具，可以与用户共享！替代OpenAI GPTs和ChatGPT的本地私有方案，采用检索增强生成技术。|
-| 107|[NaiboWang/EasySpider](https://github.com/NaiboWang/EasySpider) |易采集是一个可视化的无代码/免编程的网络爬虫/蜘蛛软件，可用于自动化测试、数据采集和爬虫任务。它也被称为ServiceWrapper，是一种面向Web应用的智能化服务封装系统。|
+| 107|[NaiboWang/EasySpider](https://github.com/NaiboWang/EasySpider) |易采集是一个可视化的无代码/免编程的网络爬虫/蜘蛛软件，可用于自动化测试、数据采集和爬虫任务。它也被称为ServiceWrapper，是一种面向Web应用的智能化服务封装系统。|
| 108|[microsoft/autogen](https://github.com/microsoft/autogen) |启用下一代大型语言模型应用程序。加入我们的Discord：https://discord.gg/pAbnFJrkgZ。|
-| 109|[ggerganov/whisper.cpp](https://github.com/ggerganov/whisper.cpp) |OpenAI的Whisper模型在C/C中的移植|
+| 109|[ggerganov/whisper.cpp](https://github.com/ggerganov/whisper.cpp) |OpenAI的Whisper模型在C/C中的移植|
| 110|[suno-ai/bark](https://github.com/suno-ai/bark)  |🔊 文本提示生成音频模型。|
-| 111|[coqui-ai/TTS](https://github.com/coqui-ai/TTS)  |🐸💬 "a deep learning toolkit for Text-to-Speech, battle-tested in research and production"|
-| 112|[streamlit/streamlit](https://github.com/streamlit/streamlit) |Streamlit — 一种更快速构建和共享数据应用程序的方法。|
-| 113|[typst/typst](https://github.com/typst/typst) |一个强大且易于学习的基于标记的排版系统。|
+| 111|[coqui-ai/TTS](https://github.com/coqui-ai/TTS)  |🐸💬 "a deep learning toolkit for Text-to-Speech, battle-tested in research and production"|
+| 112|[streamlit/streamlit](https://github.com/streamlit/streamlit) |Streamlit — 一种更快速构建和共享数据应用程序的方法。|
+| 113|[typst/typst](https://github.com/typst/typst) |一个强大且易于学习的基于标记的排版系统。|
| 114|[TencentARC/GFPGAN](https://github.com/TencentARC/GFPGAN)  |GFPGAN旨在开发适用于真实世界人脸修复的实用算法。|
-| 115|[microsoft/DeepSpeed](https://github.com/microsoft/DeepSpeed)  |一个深度学习优化库，使分布式训练和推理变得简单、高效和有效|
-| 116|[LC044/WeChatMsg](https://github.com/LC044/WeChatMsg) |提取微信聊天记录，导出为HTML、Word、Excel文档进行永久保存，并分析聊天记录生成年度聊天报告，利用聊天数据训练个人专属AI聊天助手。|
+| 115|[microsoft/DeepSpeed](https://github.com/microsoft/DeepSpeed)  |一个深度学习优化库，使分布式训练和推理变得简单、高效和有效|
+| 116|[LC044/WeChatMsg](https://github.com/LC044/WeChatMsg) |提取微信聊天记录，导出为HTML、Word、Excel文档进行永久保存，并分析聊天记录生成年度聊天报告，利用聊天数据训练个人专属AI聊天助手。|
| 117|[XingangPan/DragGAN](https://github.com/XingangPan/DragGAN)  |拖动你的GAN：在生成图像空间上进行交互式基于点的操作|
-| 118|[SimplifyJobs/Summer2025-Internships](https://github.com/SimplifyJobs/Summer2025-Internships) |暑假2025科技实习集锦！|
+| 118|[SimplifyJobs/Summer2025-Internships](https://github.com/SimplifyJobs/Summer2025-Internships) |暑假2025科技实习集锦！|
| 119|[babysor/MockingBird](https://github.com/babysor/MockingBird) |🚀AI声音克隆：5秒内克隆您的声音并实时生成任意语音内容。|
| 120|[freeCodeCamp/devdocs](https://github.com/freeCodeCamp/devdocs) |API文档浏览器|
-| 121|[gradio-app/gradio](https://github.com/gradio-app/gradio) |构建并共享令人愉悦的机器学习应用，全部使用Python。🌟 给予星标支持我们的工作！|
-| 122|[ultralytics/ultralytics](https://github.com/ultralytics/ultralytics) |全新推出 - YOLOv8 🚀，在 PyTorch 中 > 转为 ONNX > OpenVINO > CoreML > TFLite。|
+| 121|[gradio-app/gradio](https://github.com/gradio-app/gradio) |构建并共享令人愉悦的机器学习应用，全部使用Python。🌟 给予星标支持我们的工作！|
+| 122|[ultralytics/ultralytics](https://github.com/ultralytics/ultralytics) |全新推出 - YOLOv8 🚀，在 PyTorch 中 > 转为 ONNX > OpenVINO > CoreML > TFLite。|
| 123|[lapce/lapce](https://github.com/lapce/lapce) |用 Rust 编写的闪电般快速和强大的代码编辑器。|
-| 124|[OpenBB-finance/OpenBBTerminal](https://github.com/OpenBB-finance/OpenBBTerminal)  |投资研究，人人可及，无处不在。|
-| 125|[ray-project/ray](https://github.com/ray-project/ray) |Ray是一个用于扩展人工智能和Python应用程序的统一框架。Ray由一个核心分布式运行时和一组库工具（Ray AIR）组成，用于加速机器学习工作负载。|
+| 124|[OpenBB-finance/OpenBBTerminal](https://github.com/OpenBB-finance/OpenBBTerminal)  |投资研究，人人可及，无处不在。|
+| 125|[ray-project/ray](https://github.com/ray-project/ray) |Ray是一个用于扩展人工智能和Python应用程序的统一框架。Ray由一个核心分布式运行时和一组库工具（Ray AIR）组成，用于加速机器学习工作负载。|
| 126|[google-research/google-research](https://github.com/google-research/google-research)  |Translation: Google Research|
| 127| [microsoft/TaskMatrix](https://github.com/microsoft/TaskMatrix)  | Visual ChatGPT：使用视觉基础模型进行对话、绘画和编辑 |
| 128|[penpot/penpot](https://github.com/penpot/penpot) |Penpot：设计和代码协作的开源设计工具|
-| 129|[karanpratapsingh/system-design](https://github.com/karanpratapsingh/system-design) |学习如何设计大规模系统，并为系统设计面试做准备|
-| 130|[freqtrade/freqtrade](https://github.com/freqtrade/freqtrade)  |免费、开源的加密货币交易机器人|
-| 131|[2noise/ChatTTS](https://github.com/2noise/ChatTTS) |ChatTTS是一个用于日常对话的生成式语音模型。|
-| 132|[KRTirtho/spotube](https://github.com/KRTirtho/spotube) |这是一个开源的 Spotify 客户端，不需要付费会员也不使用 Electron！可在桌面和移动设备上使用！|
-| 133|[FlowiseAI/Flowise](https://github.com/FlowiseAI/Flowise)  |使用LangchainJS拖放UI构建自定义LLM流程。|
+| 129|[karanpratapsingh/system-design](https://github.com/karanpratapsingh/system-design) |学习如何设计大规模系统，并为系统设计面试做准备|
+|⭐ 130|[freqtrade/freqtrade](https://github.com/freqtrade/freqtrade)  |免费、开源的加密货币交易机器人|
+| 131|[2noise/ChatTTS](https://github.com/2noise/ChatTTS) |ChatTTS是一个用于日常对话的生成式语音模型。|
+| 132|[KRTirtho/spotube](https://github.com/KRTirtho/spotube) |这是一个开源的 Spotify 客户端，不需要付费会员也不使用 Electron！可在桌面和移动设备上使用！|
+| 133|[FlowiseAI/Flowise](https://github.com/FlowiseAI/Flowise)  |使用LangchainJS拖放UI构建自定义LLM流程。|
| 134|[vllm-project/vllm](https://github.com/vllm-project/vllm) |一个高吞吐量和内存高效的LLM推理和服务引擎。|
-| 135|[upscayl/upscayl](https://github.com/upscayl/upscayl) |🆙 Upscayl - 一个免费且开源的 AI 图像放大工具，支持 Linux、MacOS 和 Windows，以 Linux 优先理念构建。|
+| 135|[upscayl/upscayl](https://github.com/upscayl/upscayl) |🆙 Upscayl - 一个免费且开源的 AI 图像放大工具，支持 Linux、MacOS 和 Windows，以 Linux 优先理念构建。|
| 136|[chatchat-space/Langchain-Chatchat](https://github.com/chatchat-space/Langchain-Chatchat) |Langchain-Chatchat（原名为langchain-ChatGLM），是一个基于本地知识库的LLM（类似于ChatGLM）问答应用，使用了Langchain技术。|
-| 137|[zhayujie/chatgpt-on-wechat](https://github.com/zhayujie/chatgpt-on-wechat)  |使用ChatGPT搭建微信聊天机器人，基于GPT3.5/4.0 API实现，支持个人微信、公众号、企业微信部署，能处理文本、语音和图片，访问操作系统和互联网|
+| 137|[zhayujie/chatgpt-on-wechat](https://github.com/zhayujie/chatgpt-on-wechat)  |使用ChatGPT搭建微信聊天机器人，基于GPT3.5/4.0 API实现，支持个人微信、公众号、企业微信部署，能处理文本、语音和图片，访问操作系统和互联网|
| 138|[Pythagora-io/gpt-pilot](https://github.com/Pythagora-io/gpt-pilot) |可扩展的开发工具概念验证，能够在开发者监督下实现整个应用程序的编写。|
| 139|[Chanzhaoyu/chatgpt-web](https://github.com/Chanzhaoyu/chatgpt-web)  |用 Express 和 Vue3 搭建的 ChatGPT 演示网页|
| 140|[milvus-io/milvus](https://github.com/milvus-io/milvus)  |一种云原生向量数据库，为下一代人工智能应用提供存储。|
| 141|[hashicorp/vault](https://github.com/hashicorp/vault) |这是一个用于秘密管理、加密服务和特权访问管理的工具。|
-| 142|[pola-rs/polars](https://github.com/pola-rs/polars) |快速多线程、混合内外存查询引擎，专注于DataFrame前端。|
-| 143|[lllyasviel/ControlNet](https://github.com/lllyasviel/ControlNet)  |让我们来掌控扩散模型！|
-| 144|[TheAlgorithms/C-Plus-Plus](https://github.com/TheAlgorithms/C-Plus-Plus) |用于教育目的的数学、机器学习、计算机科学和物理学中各种算法的C语言实现集合。|
+| 142|[pola-rs/polars](https://github.com/pola-rs/polars) |快速多线程、混合内外存查询引擎，专注于DataFrame前端。|
+| 143|[lllyasviel/ControlNet](https://github.com/lllyasviel/ControlNet)  |让我们来掌控扩散模型！|
+| 144|[TheAlgorithms/C-Plus-Plus](https://github.com/TheAlgorithms/C-Plus-Plus) |用于教育目的的数学、机器学习、计算机科学和物理学中各种算法的C语言实现集合。|
| 145|[facebookresearch/detectron2](https://github.com/facebookresearch/detectron2) |Detectron2是一个用于目标检测、分割以及其他视觉识别任务的平台。|
-| 146|[google/jax](https://github.com/google/jax) |Python NumPy程序的可组合转换：求导、矢量化、JIT到GPU/TPU等等。|
+| 146|[google/jax](https://github.com/google/jax) |Python NumPy程序的可组合转换：求导、矢量化、JIT到GPU/TPU等等。|
| 147|[facebookresearch/fairseq](https://github.com/facebookresearch/fairseq)  |Facebook AI Research序列到序列工具包，使用Python编写|
| 148|[alibaba/nacos](https://github.com/alibaba/nacos) |一个易于使用的动态服务发现、配置和服务管理平台，用于构建云原生应用程序。|
-| 149|[yunjey/pytorch-tutorial](https://github.com/yunjey/pytorch-tutorial) |PyTorch 深度学习研究者教程|
+| 149|[yunjey/pytorch-tutorial](https://github.com/yunjey/pytorch-tutorial) |PyTorch 深度学习研究者教程|
| 150|[myshell-ai/OpenVoice](https://github.com/myshell-ai/OpenVoice) |MyShell即时语音克隆|
-| 151|[v2fly/v2ray-core](https://github.com/v2fly/v2ray-core) |用于构建代理以绕过网络限制的平台。|
-| 152|[Mintplex-Labs/anything-llm](https://github.com/Mintplex-Labs/anything-llm) |将任何文档转换为具有简洁界面和更轻松管理工作空间的智能聊天机器人的全栈应用程序。|
+| 151|[v2fly/v2ray-core](https://github.com/v2fly/v2ray-core) |用于构建代理以绕过网络限制的平台。|
+| 152|[Mintplex-Labs/anything-llm](https://github.com/Mintplex-Labs/anything-llm) |将任何文档转换为具有简洁界面和更轻松管理工作空间的智能聊天机器人的全栈应用程序。|
| 153|[tatsu-lab/stanford_alpaca](https://github.com/tatsu-lab/stanford_alpaca)  |用于训练斯坦福大学羊驼模型和生成数据的代码和文档。|
-| 154|[mckaywrigley/chatbot-ui](https://github.com/mckaywrigley/chatbot-ui) |适用于所有人的开源人工智能聊天界面。|
+| 154|[mckaywrigley/chatbot-ui](https://github.com/mckaywrigley/chatbot-ui) |适用于所有人的开源人工智能聊天界面。|
| 155|[JushBJJ/Mr.-Ranedeer-AI-Tutor](https://github.com/JushBJJ/Mr.-Ranedeer-AI-Tutor)  |一个可定制的、个性化的学习体验的 GPT-4 AI 导师的提示。|
-| 156|[xinntao/Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN)  |Real-ESRGAN旨在开发实用的图像/视频恢复算法|
+| 156|[xinntao/Real-ESRGAN](https://github.com/xinntao/Real-ESRGAN)  |Real-ESRGAN旨在开发实用的图像/视频恢复算法|
| 157|[linexjlin/GPTs](https://github.com/linexjlin/GPTs) |泄漏的GPTs prompt|
-| 158|[s0md3v/roop](https://github.com/s0md3v/roop)  |一键深度伪造（人脸交换）|
+| 158|[s0md3v/roop](https://github.com/s0md3v/roop)  |一键深度伪造（人脸交换）|
| 159|[Lightning-AI/pytorch-lightning](https://github.com/Lightning-AI/pytorch-lightning) |在多个GPU和TPU上进行AI模型的预训练、微调和部署，无需更改任何代码。|
-| 160|[shardeum/shardeum](https://github.com/shardeum/shardeum) |Shardeum是基于EVM的自动扩展区块链。|
+| 160|[shardeum/shardeum](https://github.com/shardeum/shardeum) |Shardeum是基于EVM的自动扩展区块链。|
| 161|[facebook/folly](https://github.com/facebook/folly) |一个在Facebook开发和使用的开源C库。|
-| 162|[hiroi-sora/Umi-OCR](https://github.com/hiroi-sora/Umi-OCR) |OCR图片转文字识别软件，完全离线。截屏/批量导入图片，支持多国语言、合并段落、竖排文字。可排除水印区域，提取干净的文本。基于 PaddleOCR。|
-| 163|[google-ai-edge/mediapipe](https://github.com/google-ai-edge/mediapipe) |用于实时和流媒体的跨平台、可定制的机器学习解决方案。|
-| 164| [acheong08/ChatGPT](https://github.com/acheong08/ChatGPT)  | 通过逆向工程 ChatGPT API，可扩展用于聊天机器人等应用 |
+| 162|[hiroi-sora/Umi-OCR](https://github.com/hiroi-sora/Umi-OCR) |OCR图片转文字识别软件，完全离线。截屏/批量导入图片，支持多国语言、合并段落、竖排文字。可排除水印区域，提取干净的文本。基于 PaddleOCR。|
+| 163|[google-ai-edge/mediapipe](https://github.com/google-ai-edge/mediapipe) |用于实时和流媒体的跨平台、可定制的机器学习解决方案。|
+| 164| [acheong08/ChatGPT](https://github.com/acheong08/ChatGPT)  | 通过逆向工程 ChatGPT API，可扩展用于聊天机器人等应用 |
| 165|[meta-llama/llama3](https://github.com/meta-llama/llama3) |官方 Meta Llama 3 GitHub 站点|
-| 166|[google-research/tuning_playbook](https://github.com/google-research/tuning_playbook) |深度学习模型性能最大化的系统实践手册。|
+| 166|[google-research/tuning_playbook](https://github.com/google-research/tuning_playbook) |深度学习模型性能最大化的系统实践手册。|
| 167|[mli/paper-reading](https://github.com/mli/paper-reading) |深度学习经典、新论文逐段精读|
-| 168|[mouredev/Hello-Python](https://github.com/mouredev/Hello-Python) |从零开始学习Python编程语言的课程，适合初学者。共75节课，视频时长37小时，包括代码、项目和聊天群。涵盖基础知识、前端、后端、测试、人工智能等内容......|
-| 169|[tokio-rs/tokio](https://github.com/tokio-rs/tokio) |用于编写可靠的异步应用程序的 Rust 运行时。提供 I/O、网络、调度、定时器等功能。|
-| 170|[mudler/LocalAI](https://github.com/mudler/LocalAI) |🤖 免费、开源的 OpenAI 替代品。自托管、由社区驱动、本地优先。可在消费级硬件上运行，无需 GPU。支持 gguf、transformers、diffusers 等多种模型架构。可生成文本、音频、视频、图像，还具有语音克隆功能。|
+| 168|[mouredev/Hello-Python](https://github.com/mouredev/Hello-Python) |从零开始学习Python编程语言的课程，适合初学者。共75节课，视频时长37小时，包括代码、项目和聊天群。涵盖基础知识、前端、后端、测试、人工智能等内容......|
+| 169|[tokio-rs/tokio](https://github.com/tokio-rs/tokio) |用于编写可靠的异步应用程序的 Rust 运行时。提供 I/O、网络、调度、定时器等功能。|
+| 170|[mudler/LocalAI](https://github.com/mudler/LocalAI) |🤖 免费、开源的 OpenAI 替代品。自托管、由社区驱动、本地优先。可在消费级硬件上运行，无需 GPU。支持 gguf、transformers、diffusers 等多种模型架构。可生成文本、音频、视频、图像，还具有语音克隆功能。|
| 171|[eugeneyan/applied-ml](https://github.com/eugeneyan/applied-ml) |📚 公司分享有关数据科学和机器学习在生产中应用的论文和技术博客。|
-| 172|[tinygrad/tinygrad](https://github.com/tinygrad/tinygrad) |你喜欢PyTorch吗？你喜欢micrograd吗？你会喜欢tinygrad的！❤️|
-| 173|[HeyPuter/puter](https://github.com/HeyPuter/puter) |🌐 互联网操作系统！免费、开源且可自行托管。|
+| 172|[tinygrad/tinygrad](https://github.com/tinygrad/tinygrad) |你喜欢PyTorch吗？你喜欢micrograd吗？你会喜欢tinygrad的！❤️|
+| 173|[HeyPuter/puter](https://github.com/HeyPuter/puter) |🌐 互联网操作系统！免费、开源且可自行托管。|
| 174|[iperov/DeepFaceLive](https://github.com/iperov/DeepFaceLive)  |实时人脸替换用于电脑直播或视频通话。|
-| 175|[infiniflow/ragflow](https://github.com/infiniflow/ragflow) |RAGFlow是一个基于深度文档理解的开源RAG（检索增强生成）引擎。|
-| 176|[mindsdb/mindsdb](https://github.com/mindsdb/mindsdb) |定制AI的企业数据平台|
+| 175|[infiniflow/ragflow](https://github.com/infiniflow/ragflow) |RAGFlow是一个基于深度文档理解的开源RAG（检索增强生成）引擎。|
+| 176|[mindsdb/mindsdb](https://github.com/mindsdb/mindsdb) |定制AI的企业数据平台|
| 177|[huggingface/diffusers](https://github.com/huggingface/diffusers) |🤗 扩散器：PyTorch 和 FLAX 中用于图像和音频生成的最新扩散模型。|
-| 178|[openai/CLIP](https://github.com/openai/CLIP) |CLIP（对比语言-图像预训练），根据图像预测最相关的文本片段。|
-| 179| [getcursor/cursor](https://github.com/getcursor/cursor)  | 一个专为AI编程而设计的编辑器 |
+| 178|[openai/CLIP](https://github.com/openai/CLIP) |CLIP（对比语言-图像预训练），根据图像预测最相关的文本片段。|
+| 179| [getcursor/cursor](https://github.com/getcursor/cursor)  | 一个专为AI编程而设计的编辑器 |
| 180|[taichi-dev/taichi](https://github.com/taichi-dev/taichi) |在Python中进行高效、便携和高性能的GPU编程。|
-| 181|[XTLS/Xray-core](https://github.com/XTLS/Xray-core) |Xray，穿透一切。同时也是最好的v2ray核心，支持XTLS。完全兼容的配置。|
-| 182|[chatanywhere/GPT_API_free](https://github.com/chatanywhere/GPT_API_free) |免费ChatGPT API密钥，支持GPT4 API（免费），ChatGPT国内可用免费转发API，直连无需代理。可以搭配ChatBox等软件/插件使用，极大降低接口使用成本。国内即可无限制畅快聊天。|
+| 181|[XTLS/Xray-core](https://github.com/XTLS/Xray-core) |Xray，穿透一切。同时也是最好的v2ray核心，支持XTLS。完全兼容的配置。|
+| 182|[chatanywhere/GPT_API_free](https://github.com/chatanywhere/GPT_API_free) |免费ChatGPT API密钥，支持GPT4 API（免费），ChatGPT国内可用免费转发API，直连无需代理。可以搭配ChatBox等软件/插件使用，极大降低接口使用成本。国内即可无限制畅快聊天。|
| 183|[danielmiessler/fabric](https://github.com/danielmiessler/fabric) |Fabric是一个用于利用人工智能增强人类的开源框架。|
-| 184|[svc-develop-team/so-vits-svc](https://github.com/svc-develop-team/so-vits-svc)  |SoftVC VITS唱声变换。|
-| 185|[DataTalksClub/data-engineering-zoomcamp](https://github.com/DataTalksClub/data-engineering-zoomcamp) |免费的数据工程课程！|
-| 186|[OpenBMB/ChatDev](https://github.com/OpenBMB/ChatDev) |使用自然语言思维（通过多智能体协作）创建定制软件。|
-| 187|[airbnb/lottie-ios](https://github.com/airbnb/lottie-ios) |iOS库，用于原生渲染After Effects矢量动画。|
-| 188|[RVC-Project/Retrieval-based-Voice-Conversion-WebUI](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI) |语音数据<=10分钟也可以用来训练一个良好的语音转换模型！|
-| 189|[janhq/jan](https://github.com/janhq/jan) |Jan是一个开源的替代ChatGPT的工具，可以完全离线在你的计算机上运行。|
+| 184|[svc-develop-team/so-vits-svc](https://github.com/svc-develop-team/so-vits-svc)  |SoftVC VITS唱声变换。|
+| 185|[DataTalksClub/data-engineering-zoomcamp](https://github.com/DataTalksClub/data-engineering-zoomcamp) |免费的数据工程课程！|
+| 186|[OpenBMB/ChatDev](https://github.com/OpenBMB/ChatDev) |使用自然语言思维（通过多智能体协作）创建定制软件。|
+| 187|[airbnb/lottie-ios](https://github.com/airbnb/lottie-ios) |iOS库，用于原生渲染After Effects矢量动画。|
+| 188|[RVC-Project/Retrieval-based-Voice-Conversion-WebUI](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI) |语音数据<=10分钟也可以用来训练一个良好的语音转换模型！|
+| 189|[janhq/jan](https://github.com/janhq/jan) |Jan是一个开源的替代ChatGPT的工具，可以完全离线在你的计算机上运行。|
| 190|[Vision-CAIR/MiniGPT-4](https://github.com/Vision-CAIR/MiniGPT-4)  |使用先进的大型语言模型增强视觉语言理解能力|
-| 191|[academic/awesome-datascience](https://github.com/academic/awesome-datascience) |一个非常棒的数据科学知识库，可用于学习并应用于真实世界问题。|
+| 191|[academic/awesome-datascience](https://github.com/academic/awesome-datascience) |一个非常棒的数据科学知识库，可用于学习并应用于真实世界问题。|
| 192|[Stability-AI/generative-models](https://github.com/Stability-AI/generative-models) |稳定AI的生成模型|
-| 193|[karpathy/llm.c](https://github.com/karpathy/llm.c) |在简单的、原始的C/CUDA中进行LLM训练。|
+| 193|[karpathy/llm.c](https://github.com/karpathy/llm.c) |在简单的、原始的C/CUDA中进行LLM训练。|
| 194|[gabime/spdlog](https://github.com/gabime/spdlog) |快速的C日志库。|
| 195|[roboflow/supervision](https://github.com/roboflow/supervision) |我们编写您可重用的计算机视觉工具。 💜|
-| 196|[Bin-Huang/chatbox](https://github.com/Bin-Huang/chatbox)  |一个支持Windows、Mac和Linux操作系统的GPT-4/GPT-3.5（OpenAI API）桌面应用程序|
-| 197|[apache/flink](https://github.com/apache/flink) |Apache Flink|
-| 198|[paul-gauthier/aider](https://github.com/paul-gauthier/aider) |aider是由GPT提供支持的终端编程工具|
-| 199|[DataExpert-io/data-engineer-handbook](https://github.com/DataExpert-io/data-engineer-handbook) |这是一个包含指向你想学习有关数据工程的一切内容的存储库。|
+| 196|[Bin-Huang/chatbox](https://github.com/Bin-Huang/chatbox)  |一个支持Windows、Mac和Linux操作系统的GPT-4/GPT-3.5（OpenAI API）桌面应用程序|
+| 197|[apache/flink](https://github.com/apache/flink) |Apache Flink|
+| 198|[paul-gauthier/aider](https://github.com/paul-gauthier/aider) |aider是由GPT提供支持的终端编程工具|
+| 199|[DataExpert-io/data-engineer-handbook](https://github.com/DataExpert-io/data-engineer-handbook) |这是一个包含指向你想学习有关数据工程的一切内容的存储库。|
| 200|[nrwl/nx](https://github.com/nrwl/nx) |智能单仓库 · 快速 CI|
-| 201|[invoke-ai/InvokeAI](https://github.com/invoke-ai/InvokeAI) |InvokeAI是一款领先的稳定扩散模型创意引擎，为专业人士、艺术家和爱好者提供强大的能力，利用最新的人工智能技术生成和创造视觉媒体。该解决方案提供业界领先的WebUI，支持通过CLI进行终端使用，并为多个商业产品奠定基础。|
+| 201|[invoke-ai/InvokeAI](https://github.com/invoke-ai/InvokeAI) |InvokeAI是一款领先的稳定扩散模型创意引擎，为专业人士、艺术家和爱好者提供强大的能力，利用最新的人工智能技术生成和创造视觉媒体。该解决方案提供业界领先的WebUI，支持通过CLI进行终端使用，并为多个商业产品奠定基础。|
| 202| [yetone/openai-translator](https://github.com/yetone/openai-translator)  | 基于 ChatGPT API 的划词翻译浏览器插件和跨平台桌面端应用 |
-| 203|[crewAIInc/crewAI](https://github.com/crewAIInc/crewAI) ||
+| 203|[crewAIInc/crewAI](https://github.com/crewAIInc/crewAI) ||
| 204|[deepinsight/insightface](https://github.com/deepinsight/insightface)  |先进的2D和3D面部分析项目|
| 205| [microsoft/JARVIS](https://github.com/microsoft/JARVIS)  | 一个将LLMs与ML社区连接起来的系统 |
-| 206|[openai/openai-python](https://github.com/openai/openai-python) |OpenAI Python库可方便地在使用Python语言编写的应用程序中访问OpenAI API。|
-| 207|[stretchr/testify](https://github.com/stretchr/testify) |一个包含常见断言和模拟对象的工具包，与标准库兼容。|
+| 206|[openai/openai-python](https://github.com/openai/openai-python) |OpenAI Python库可方便地在使用Python语言编写的应用程序中访问OpenAI API。|
+| 207|[stretchr/testify](https://github.com/stretchr/testify) |一个包含常见断言和模拟对象的工具包，与标准库兼容。|
| 208|[opentofu/opentofu](https://github.com/opentofu/opentofu) |OpenTofu允许您声明式地管理您的云基础设施。|
-| 209|[mem0ai/mem0](https://github.com/mem0ai/mem0) |个性化人工智能的记忆层|
+| 209|[mem0ai/mem0](https://github.com/mem0ai/mem0) |个性化人工智能的记忆层|
| 210|[rancher/rancher](https://github.com/rancher/rancher) |完整的容器管理平台|
| 211|[google/flatbuffers](https://github.com/google/flatbuffers) |FlatBuffers：内存高效序列化库|
| 212|[modularml/mojo](https://github.com/modularml/mojo)  |Mojo编程语言|
-| 213|[bazelbuild/bazel](https://github.com/bazelbuild/bazel) |一个快速、可扩展的、支持多种语言的构建系统。|
+| 213|[bazelbuild/bazel](https://github.com/bazelbuild/bazel) |一个快速、可扩展的、支持多种语言的构建系统。|
| 214|[drawdb-io/drawdb](https://github.com/drawdb-io/drawdb) |免费、简单、直观的在线数据库设计工具和SQL生成器。|
-| 215|[TheAlgorithms/Rust](https://github.com/TheAlgorithms/Rust) |所有算法都是用Rust实现的|
-| 216|[opendatalab/MinerU](https://github.com/opendatalab/MinerU) |一个一站式、开源、高质量的数据提取工具，支持PDF/网页/电子书提取|
-| 217|[PostHog/posthog](https://github.com/PostHog/posthog) |PostHog提供开源产品分析、会话录制、特性标记和A/B测试，您可以自行托管。|
+| 215|[TheAlgorithms/Rust](https://github.com/TheAlgorithms/Rust) |所有算法都是用Rust实现的|
+| 216|[opendatalab/MinerU](https://github.com/opendatalab/MinerU) |一个一站式、开源、高质量的数据提取工具，支持PDF/网页/电子书提取|
+| 217|[PostHog/posthog](https://github.com/PostHog/posthog) |PostHog提供开源产品分析、会话录制、特性标记和A/B测试，您可以自行托管。|
| 218|[openai/gpt-2](https://github.com/openai/gpt-2) |论文《语言模型是无监督的多任务学习者》的代码|
-| 219|[microsoft/semantic-kernel](https://github.com/microsoft/semantic-kernel) |快速轻松地将最新的大语言模型技术集成到您的应用程序中|
-| 220|[frappe/erpnext](https://github.com/frappe/erpnext) |免费且开源的企业资源规划（ERP）|
+| 219|[microsoft/semantic-kernel](https://github.com/microsoft/semantic-kernel) |快速轻松地将最新的大语言模型技术集成到您的应用程序中|
+| 220|[frappe/erpnext](https://github.com/frappe/erpnext) |免费且开源的企业资源规划（ERP）|
| 221|[TabbyML/tabby](https://github.com/TabbyML/tabby)  |可搭建的人工智能编码助手|
| 222|[PaddlePaddle/Paddle](https://github.com/PaddlePaddle/Paddle) |并行分布式深度学习：工业实践中的机器学习框架（『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）|
-| 223|[zulip/zulip](https://github.com/zulip/zulip) |Zulip服务器和Web应用程序。这是一个开源的团队聊天工具，帮助团队保持高效和专注。|
+| 223|[zulip/zulip](https://github.com/zulip/zulip) |Zulip服务器和Web应用程序。这是一个开源的团队聊天工具，帮助团队保持高效和专注。|
| 224|[warpdotdev/Warp](https://github.com/warpdotdev/Warp) |Warp是一个现代化的、基于Rust的终端，内置人工智能，这样你和你的团队可以更快地构建出色的软件。|
-| 225|[Genesis-Embodied-AI/Genesis](https://github.com/Genesis-Embodied-AI/Genesis) |通用机器人和具身人工智能学习的生成世界。|
-| 226|[ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code](https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code) |500个AI 机器学习 深度学习 计算机视觉 自然语言处理项目代码|
+| 225|[Genesis-Embodied-AI/Genesis](https://github.com/Genesis-Embodied-AI/Genesis) |通用机器人和具身人工智能学习的生成世界。|
+| 226|[ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code](https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code) |500个AI 机器学习 深度学习 计算机视觉 自然语言处理项目代码|
| 227|[microsoft/graphrag](https://github.com/microsoft/graphrag) |一个基于模块化图形的检索增强生成（RAG）系统。|
| 228|[grpc/grpc-go](https://github.com/grpc/grpc-go) |Go语言实现的gRPC。基于HTTP/2的RPC。|
| 229|[facebookresearch/audiocraft](https://github.com/facebookresearch/audiocraft) |Audiocraft 是一个用于音频处理和深度学习生成的库。它包含最先进的 EnCodec 音频压缩器/分词器，以及 MusicGen，一个简单可控的音乐生成语言模型，支持文本和旋律条件。|
| 230|[qdrant/qdrant](https://github.com/qdrant/qdrant)  |Qdrant是面向下一代人工智能应用的向量数据库。同时提供云服务，网址为https://cloud.qdrant.io/。|
-| 231|[mendableai/firecrawl](https://github.com/mendableai/firecrawl) |将整个网站转换成适用于LLM的Markdown|
-| 232|[Mozilla-Ocho/llamafile](https://github.com/Mozilla-Ocho/llamafile) |使用单个文件分发和运行LLMs。|
+| 231|[mendableai/firecrawl](https://github.com/mendableai/firecrawl) |将整个网站转换成适用于LLM的Markdown|
+| 232|[Mozilla-Ocho/llamafile](https://github.com/Mozilla-Ocho/llamafile) |使用单个文件分发和运行LLMs。|
| 233| [openai/chatgpt-retrieval-plugin](https://github.com/openai/chatgpt-retrieval-plugin)  | 插件是专门为像ChatGPT这样的语言模型设计的聊天扩展，使它们能够访问最新信息、运行计算或与第三方服务交互以响应用户请求|
-| 234|[haotian-liu/LLaVA](https://github.com/haotian-liu/LLaVA)  |面向多模态GPT-4级能力构建的大型语言和视觉助手。|
-| 235|[continuedev/continue](https://github.com/continuedev/continue) |开源的合作伙伴软件开发聊天工具 — 将 ChatGPT 的强大能力带到 VS Code。|
-| 236|[yuliskov/SmartTube](https://github.com/yuliskov/SmartTube) |SmartTube - 一款适用于运行 Android 操作系统的机顶盒和电视的高级播放器。|
+| 234|[haotian-liu/LLaVA](https://github.com/haotian-liu/LLaVA)  |面向多模态GPT-4级能力构建的大型语言和视觉助手。|
+| 235|[continuedev/continue](https://github.com/continuedev/continue) |开源的合作伙伴软件开发聊天工具 — 将 ChatGPT 的强大能力带到 VS Code。|
+| 236|[yuliskov/SmartTube](https://github.com/yuliskov/SmartTube) |SmartTube - 一款适用于运行 Android 操作系统的机顶盒和电视的高级播放器。|
| 237|[karpathy/minGPT](https://github.com/karpathy/minGPT) |一个最小化的 PyTorch 重新实现的 OpenAI GPT（生成预训练变换器）训练|
| 238|[stanfordnlp/dspy](https://github.com/stanfordnlp/dspy) |斯坦福DSPy：用于编程而非提示的基础模型框架|
-| 239|[facefusion/facefusion](https://github.com/facefusion/facefusion) |下一代人脸交换和增强工具|
-| 240|[yoheinakajima/babyagi](https://github.com/yoheinakajima/babyagi)  |使用OpenAI和Pinecone API来创建、优先排序和执行任务,是原始Task-Driven Autonomous Agent的简化版|
-| 241|[songquanpeng/one-api](https://github.com/songquanpeng/one-api) |OpenAI 接口管理与分发系统，支持 Azure、Anthropic Claude、Google PaLM 2、智谱 ChatGLM、百度文心一言、讯飞星火认知以及阿里通义千问，可使用单一 API 管理所有 LLMs，并提供英文用户界面。|
+| 239|[facefusion/facefusion](https://github.com/facefusion/facefusion) |下一代人脸交换和增强工具|
+| 240|[yoheinakajima/babyagi](https://github.com/yoheinakajima/babyagi)  |使用OpenAI和Pinecone API来创建、优先排序和执行任务,是原始Task-Driven Autonomous Agent的简化版|
+| 241|[songquanpeng/one-api](https://github.com/songquanpeng/one-api) |OpenAI 接口管理与分发系统，支持 Azure、Anthropic Claude、Google PaLM 2、智谱 ChatGLM、百度文心一言、讯飞星火认知以及阿里通义千问，可使用单一 API 管理所有 LLMs，并提供英文用户界面。|
| 242|[microsoft/unilm](https://github.com/microsoft/unilm) |大规模自我监督跨任务、语言和模态的预训练|
-| 243|[Hannibal046/Awesome-LLM](https://github.com/Hannibal046/Awesome-LLM) |优秀的LLM：一个精选的大型语言模型列表|
-| 244|[danny-avila/LibreChat](https://github.com/danny-avila/LibreChat) |增强版的ChatGPT克隆：具备OpenAI、GPT-4 Vision、Bing、Anthropic、OpenRouter、Google Gemini、AI模型切换、消息搜索、langchain、DALL-E-3、ChatGPT插件、OpenAI功能、安全的多用户系统、预设，并且完全开源供自行托管。更多功能正在开发中。|
+| 243|[Hannibal046/Awesome-LLM](https://github.com/Hannibal046/Awesome-LLM) |优秀的LLM：一个精选的大型语言模型列表|
+| 244|[danny-avila/LibreChat](https://github.com/danny-avila/LibreChat) |增强版的ChatGPT克隆：具备OpenAI、GPT-4 Vision、Bing、Anthropic、OpenRouter、Google Gemini、AI模型切换、消息搜索、langchain、DALL-E-3、ChatGPT插件、OpenAI功能、安全的多用户系统、预设，并且完全开源供自行托管。更多功能正在开发中。|
| 245|[PromtEngineer/localGPT](https://github.com/PromtEngineer/localGPT)  |使用GPT模型在您的本地设备上与您的文档聊天。没有数据离开您的设备，100%私密。|
-| 246|[blakeblackshear/frigate](https://github.com/blakeblackshear/frigate) |NVR（网络视频录像机）配备实时本地物体检测功能，适用于IP摄像机。|
-| 247|[Sanster/lama-cleaner](https://github.com/Sanster/lama-cleaner) |由SOTA人工智能模型驱动的图像修复工具。从您的照片中删除任何不需要的物体、缺陷、人物，或者抹除和替换照片上的任何内容（由稳定扩散技术支持）。|
-| 248|[HumanSignal/label-studio](https://github.com/HumanSignal/label-studio) |Label Studio 是一种多类型数据标注和注释工具，具有标准化的输出格式。|
-| 249|[elastic/kibana](https://github.com/elastic/kibana) |您通往 Elastic Stack 的窗口|
-| 250|🔥[unclecode/crawl4ai](https://github.com/unclecode/crawl4ai) |🔥🕷️ Crawl4AI：开源LLM友好型网络爬虫和数据提取工具|
-| 251|[unslothai/unsloth](https://github.com/unslothai/unsloth) |5倍更快，内存减少50%，LLM微调。|
-| 252|[mlc-ai/mlc-llm](https://github.com/mlc-ai/mlc-llm)  |让每个人能够在自己的设备上本地开发、优化和部署AI模型。|
-| 253|[labring/FastGPT](https://github.com/labring/FastGPT) |一个使用OpenAI API快速构建人工智能知识库的平台，支持多对多的关联关系。|
+|⭐ 246|🔥🔥[unclecode/crawl4ai](https://github.com/unclecode/crawl4ai) |🔥🕷️ Crawl4AI：开源LLM友好型网络爬虫和数据提取工具|
+| 247|[blakeblackshear/frigate](https://github.com/blakeblackshear/frigate) |NVR（网络视频录像机）配备实时本地物体检测功能，适用于IP摄像机。|
+| 248|[Sanster/lama-cleaner](https://github.com/Sanster/lama-cleaner) |由SOTA人工智能模型驱动的图像修复工具。从您的照片中删除任何不需要的物体、缺陷、人物，或者抹除和替换照片上的任何内容（由稳定扩散技术支持）。|
+| 249|[HumanSignal/label-studio](https://github.com/HumanSignal/label-studio) |Label Studio 是一种多类型数据标注和注释工具，具有标准化的输出格式。|
+| 250|[elastic/kibana](https://github.com/elastic/kibana) |您通往 Elastic Stack 的窗口|
+| 251|[unslothai/unsloth](https://github.com/unslothai/unsloth) |5倍更快，内存减少50%，LLM微调。|
+| 252|[mlc-ai/mlc-llm](https://github.com/mlc-ai/mlc-llm)  |让每个人能够在自己的设备上本地开发、优化和部署AI模型。|
+| 253|[labring/FastGPT](https://github.com/labring/FastGPT) |一个使用OpenAI API快速构建人工智能知识库的平台，支持多对多的关联关系。|
| 254|[ashishps1/awesome-system-design-resources](https://github.com/ashishps1/awesome-system-design-resources) |这个仓库包含了一些在准备面试和学习分布式系统时非常有用的系统设计资源。|
-| 255|[guidance-ai/guidance](https://github.com/guidance-ai/guidance) |用于控制大型语言模型的指导语言。|
-| 256|[Cinnamon/kotaemon](https://github.com/Cinnamon/kotaemon) |一个基于RAG的开源工具，用于与您的文档聊天。|
+|⭐ 255|[Cinnamon/kotaemon](https://github.com/Cinnamon/kotaemon) |一个基于RAG的开源工具，用于与您的文档聊天。|
+| 256|[guidance-ai/guidance](https://github.com/guidance-ai/guidance) |用于控制大型语言模型的指导语言。|
| 257|[harry0703/MoneyPrinterTurbo](https://github.com/harry0703/MoneyPrinterTurbo) |利用大型模型，一键生成短视频。|
-| 258|[BuilderIO/gpt-crawler](https://github.com/BuilderIO/gpt-crawler) |爬取一个网站以生成知识文件，从URL创建自己的定制GPT。|
-| 259|[cline/cline](https://github.com/cline/cline) |集成在您的集成开发环境中的自主编码代理，能够在征得您的每一步许可的情况下创建/编辑文件、执行命令等。|
-| 260|[tree-sitter/tree-sitter](https://github.com/tree-sitter/tree-sitter) |编程工具的增量解析系统|
-| 261|[mlflow/mlflow](https://github.com/mlflow/mlflow) |机器学习生命周期的开源平台|
-| 262|[LiLittleCat/awesome-free-chatgpt](https://github.com/LiLittleCat/awesome-free-chatgpt) |🆓免费的 ChatGPT 镜像网站列表，持续更新。|
-| 263|[black-forest-labs/flux](https://github.com/black-forest-labs/flux) |FLUX.1 模型的官方推理存储库。|
-| 264|[Anjok07/ultimatevocalremovergui](https://github.com/Anjok07/ultimatevocalremovergui) |使用深度神经网络的人声去除器的图形用户界面。|
+| 258|[cline/cline](https://github.com/cline/cline) |集成在您的集成开发环境中的自主编码代理，能够在征得您的每一步许可的情况下创建/编辑文件、执行命令等。|
+| 259|[BuilderIO/gpt-crawler](https://github.com/BuilderIO/gpt-crawler) |爬取一个网站以生成知识文件，从URL创建自己的定制GPT。|
+| 260|[tree-sitter/tree-sitter](https://github.com/tree-sitter/tree-sitter) |编程工具的增量解析系统|
+| 261|[mlflow/mlflow](https://github.com/mlflow/mlflow) |机器学习生命周期的开源平台|
+| 262|[LiLittleCat/awesome-free-chatgpt](https://github.com/LiLittleCat/awesome-free-chatgpt) |🆓免费的 ChatGPT 镜像网站列表，持续更新。|
+| 263|[black-forest-labs/flux](https://github.com/black-forest-labs/flux) |FLUX.1 模型的官方推理存储库。|
+| 264|[Anjok07/ultimatevocalremovergui](https://github.com/Anjok07/ultimatevocalremovergui) |使用深度神经网络的人声去除器的图形用户界面。|
| 265| [tloen/alpaca-lora](https://github.com/tloen/alpaca-lora)  | 在个人电子设备硬件上调整LLaMA|
| 266|[wez/wezterm](https://github.com/wez/wezterm) |由@wez编写，用Rust实现的GPU加速跨平台终端仿真器和复用器|
-| 267|[stitionai/devika](https://github.com/stitionai/devika) |Devika是一位主动型AI软件工程师，能够理解高级人类指令，将其分解为步骤，查找相关信息，并编写代码以实现给定目标。Devika旨在成为Cognition AI的Devin的竞争性开源替代品。|
-| 268|[LazyVim/LazyVim](https://github.com/LazyVim/LazyVim) |懒人版Neovim配置|
+| 267|[stitionai/devika](https://github.com/stitionai/devika) |Devika是一位主动型AI软件工程师，能够理解高级人类指令，将其分解为步骤，查找相关信息，并编写代码以实现给定目标。Devika旨在成为Cognition AI的Devin的竞争性开源替代品。|
+| 268|[LazyVim/LazyVim](https://github.com/LazyVim/LazyVim) |懒人版Neovim配置|
| 269|[ymcui/Chinese-LLaMA-Alpaca](https://github.com/ymcui/Chinese-LLaMA-Alpaca)  |中文LLaMA和Alpaca大语言模型是部署在本地CPU/GPU上的自然语言处理模型。|
-| 270|[ml-tooling/best-of-ml-python](https://github.com/ml-tooling/best-of-ml-python) |一个排名列表，列出了一些很棒的机器学习 Python 库。每周更新一次。|
-| 271|[deepset-ai/haystack](https://github.com/deepset-ai/haystack) |🔍 Haystack 是一个开源的自然语言处理框架，可以使用 Transformer 模型和 LLMs（如 GPT-4、ChatGPT 等）与数据进行交互。Haystack 提供了用于快速构建复杂问答、语义搜索、文本生成应用等的生产就绪工具。|
-| 272|[valkey-io/valkey](https://github.com/valkey-io/valkey) |支持缓存和超越缓存工作负载的灵活分布式键值数据存储。|
+| 270|[ml-tooling/best-of-ml-python](https://github.com/ml-tooling/best-of-ml-python) |一个排名列表，列出了一些很棒的机器学习 Python 库。每周更新一次。|
+| 271|[deepset-ai/haystack](https://github.com/deepset-ai/haystack) |🔍 Haystack 是一个开源的自然语言处理框架，可以使用 Transformer 模型和 LLMs（如 GPT-4、ChatGPT 等）与数据进行交互。Haystack 提供了用于快速构建复杂问答、语义搜索、文本生成应用等的生产就绪工具。|
+| 272|[valkey-io/valkey](https://github.com/valkey-io/valkey) |支持缓存和超越缓存工作负载的灵活分布式键值数据存储。|
| 273|[samber/lo](https://github.com/samber/lo) |💥 基于 Go 1.18 泛型的 Lodash 风格的 Go 库（map、filter、contains、find...）|
| 274|[kenjihiranabe/The-Art-of-Linear-Algebra](https://github.com/kenjihiranabe/The-Art-of-Linear-Algebra) |图解吉尔伯特·斯特兰格的《线性代数与每个人》笔记。|
-| 275|[exo-explore/exo](https://github.com/exo-explore/exo) |用日常设备在家中运行您自己的AI集群 📱💻 🖥️⌚|
-| 276|[brave/brave-browser](https://github.com/brave/brave-browser) |Brave浏览器适用于Android、iOS、Linux、macOS和Windows操作系统。|
-| 277|[ml-explore/mlx](https://github.com/ml-explore/mlx) |MLX：适用于苹果芯片的阵列框架|
-| 278|[DarkFlippers/unleashed-firmware](https://github.com/DarkFlippers/unleashed-firmware) |Flipper Zero解锁固件|
+| 275|[exo-explore/exo](https://github.com/exo-explore/exo) |用日常设备在家中运行您自己的AI集群 📱💻 🖥️⌚|
+| 276|[brave/brave-browser](https://github.com/brave/brave-browser) |Brave浏览器适用于Android、iOS、Linux、macOS和Windows操作系统。|
+| 277|[ml-explore/mlx](https://github.com/ml-explore/mlx) |MLX：适用于苹果芯片的阵列框架|
+| 278|[DarkFlippers/unleashed-firmware](https://github.com/DarkFlippers/unleashed-firmware) |Flipper Zero解锁固件|
| 279|[CodePhiliaX/Chat2DB](https://github.com/CodePhiliaX/Chat2DB) |🔥🔥🔥基于AI的数据库工具和SQL客户端，最热门的GUI客户端，支持MySQL、Oracle、PostgreSQL、DB2、SQL Server、SQLite、H2、ClickHouse等多种数据库。|
-| 280|[fishaudio/fish-speech](https://github.com/fishaudio/fish-speech) |全新的TTS解决方案|
-| 281|[renovatebot/renovate](https://github.com/renovatebot/renovate) |通用依赖更新工具，可完美融入您的工作流程。|
-| 282|[joonspk-research/generative_agents](https://github.com/joonspk-research/generative_agents) |生成式智能体：人类行为的交互模拟体验|
-| 283|🔥[khoj-ai/khoj](https://github.com/khoj-ai/khoj) |你的人工智能第二大脑。一个副驾驶席，用来获取你问题的答案，无论是来自你自己的笔记还是来自互联网。使用强大的在线（例如 GPT-4）或私人的、本地的（例如 Mistral）语言模型。在本地进行自托管，或者使用我们的网络应用。从 Obsidian、Emacs、桌面应用、Web 或 Whatsapp 访问。|
+| 280|[fishaudio/fish-speech](https://github.com/fishaudio/fish-speech) |全新的TTS解决方案|
+| 281|🔥[khoj-ai/khoj](https://github.com/khoj-ai/khoj) |你的人工智能第二大脑。一个副驾驶席，用来获取你问题的答案，无论是来自你自己的笔记还是来自互联网。使用强大的在线（例如 GPT-4）或私人的、本地的（例如 Mistral）语言模型。在本地进行自托管，或者使用我们的网络应用。从 Obsidian、Emacs、桌面应用、Web 或 Whatsapp 访问。|
+| 282|[renovatebot/renovate](https://github.com/renovatebot/renovate) |通用依赖更新工具，可完美融入您的工作流程。|
+| 283|[joonspk-research/generative_agents](https://github.com/joonspk-research/generative_agents) |生成式智能体：人类行为的交互模拟体验|
| 284|[thingsboard/thingsboard](https://github.com/thingsboard/thingsboard) |开源物联网平台-设备管理、数据收集、处理和可视化。|
| 285|[PrefectHQ/prefect](https://github.com/PrefectHQ/prefect) |Prefect是一个工作流编排工具，赋予开发者构建、观察和响应数据管道的能力。|
-| 286|[ItzCrazyKns/Perplexica](https://github.com/ItzCrazyKns/Perplexica) |Perplexica是一款由人工智能驱动的搜索引擎。它是Perplexity AI的开源替代方案。|
-| 287|[Avaiga/taipy](https://github.com/Avaiga/taipy) |将数据和人工智能算法快速转化为可投入生产的网络应用程序。|
-| 288|[openai/swarm](https://github.com/openai/swarm) |教育框架，探索符合人体工程学的轻量级多代理编排。由OpenAI解决方案团队管理。|
-| 289|[phidatahq/phidata](https://github.com/phidatahq/phidata) |使用函数调用构建AI助手。|
-| 290|[DS4SD/docling](https://github.com/DS4SD/docling) |准备好您的文件供通用人工智能使用。|
+| 286|[ItzCrazyKns/Perplexica](https://github.com/ItzCrazyKns/Perplexica) |Perplexica是一款由人工智能驱动的搜索引擎。它是Perplexity AI的开源替代方案。|
+| 287|[Avaiga/taipy](https://github.com/Avaiga/taipy) |将数据和人工智能算法快速转化为可投入生产的网络应用程序。|
+| 288|[openai/swarm](https://github.com/openai/swarm) |教育框架，探索符合人体工程学的轻量级多代理编排。由OpenAI解决方案团队管理。|
+| 289|[phidatahq/phidata](https://github.com/phidatahq/phidata) |使用函数调用构建AI助手。|
+| 290|[DS4SD/docling](https://github.com/DS4SD/docling) |准备好您的文件供通用人工智能使用。|
| 291|[HqWu-HITCS/Awesome-Chinese-LLM](https://github.com/HqWu-HITCS/Awesome-Chinese-LLM) |整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。|
| 292|[Mikubill/sd-webui-controlnet](https://github.com/Mikubill/sd-webui-controlnet)  |ControlNet的WebUI扩展|
-| 293| [xx025/carrot](https://github.com/xx025/carrot)  | 收集了一些免费好用的ChatGPT镜像站 |
-| 294|[apple/ml-stable-diffusion](https://github.com/apple/ml-stable-diffusion) |苹果硅上的稳定扩散与 Core ML|
-| 295|🔥🔥[stanford-oval/storm](https://github.com/stanford-oval/storm) |一种由LLM驱动的知识整理系统，研究一个主题并生成带引用的全文报告。|
-| 296|[ente-io/ente](https://github.com/ente-io/ente) |完全开源，端对端加密的替代谷歌照片和苹果照片|
-| 297|[rlabbe/Kalman-and-Bayesian-Filters-in-Python](https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python) |卡尔曼滤波器使用Jupyter Notebook编写的书籍。侧重于培养直觉和经验，而非正式证明。包括卡尔曼滤波器、扩展卡尔曼滤波器、无迹卡尔曼滤波器、粒子滤波器等内容。所有练习都附带解答。|
-| 298|[VinciGit00/Scrapegraph-ai](https://github.com/VinciGit00/Scrapegraph-ai) |基于人工智能的Python爬虫|
+|⭐ 293|🔥🔥[stanford-oval/storm](https://github.com/stanford-oval/storm) |一种由LLM驱动的知识整理系统，研究一个主题并生成带引用的全文报告。|
+| 294| [xx025/carrot](https://github.com/xx025/carrot)  | 收集了一些免费好用的ChatGPT镜像站 |
+| 295|[apple/ml-stable-diffusion](https://github.com/apple/ml-stable-diffusion) |苹果硅上的稳定扩散与 Core ML|
+| 296|[ente-io/ente](https://github.com/ente-io/ente) |完全开源，端对端加密的替代谷歌照片和苹果照片|
+| 297|[rlabbe/Kalman-and-Bayesian-Filters-in-Python](https://github.com/rlabbe/Kalman-and-Bayesian-Filters-in-Python) |卡尔曼滤波器使用Jupyter Notebook编写的书籍。侧重于培养直觉和经验，而非正式证明。包括卡尔曼滤波器、扩展卡尔曼滤波器、无迹卡尔曼滤波器、粒子滤波器等内容。所有练习都附带解答。|
+| 298|[VinciGit00/Scrapegraph-ai](https://github.com/VinciGit00/Scrapegraph-ai) |基于人工智能的Python爬虫|
| 299|[w-okada/voice-changer](https://github.com/w-okada/voice-changer)  |实时语音变声器|
-| 300|[microsoft/LightGBM](https://github.com/microsoft/LightGBM) |一个快速、分布式、高性能的梯度提升（GBT，GBDT，GBRT，GBM或MART）框架，基于决策树算法，用于排名、分类和许多其他机器学习任务。|
-| 301| [transitive-bullshit/chatgpt-api](https://github.com/transitive-bullshit/chatgpt-api)  | 官方ChatGPT API的Node.js客户端 |
-| 302|[gitroomhq/postiz-app](https://github.com/gitroomhq/postiz-app) |安排社交帖子，衡量它们，与其他成员交流，并从人工智能中获得大量帮助 🚀|
-| 303|[ardalis/CleanArchitecture](https://github.com/ardalis/CleanArchitecture) |Clean Architecture Solution Template: 一个使用ASP.NET Core的Clean Architecture的起始点。|
+| 300|[microsoft/LightGBM](https://github.com/microsoft/LightGBM) |一个快速、分布式、高性能的梯度提升（GBT，GBDT，GBRT，GBM或MART）框架，基于决策树算法，用于排名、分类和许多其他机器学习任务。|
+| 301| [transitive-bullshit/chatgpt-api](https://github.com/transitive-bullshit/chatgpt-api)  | 官方ChatGPT API的Node.js客户端 |
+| 302|[gitroomhq/postiz-app](https://github.com/gitroomhq/postiz-app) |安排社交帖子，衡量它们，与其他成员交流，并从人工智能中获得大量帮助 🚀|
+| 303|[ardalis/CleanArchitecture](https://github.com/ardalis/CleanArchitecture) |Clean Architecture Solution Template: 一个使用ASP.NET Core的Clean Architecture的起始点。|
| 304|[emilwallner/Screenshot-to-code](https://github.com/emilwallner/Screenshot-to-code) | 一个将设计模型转化为静态网站的神经网络|
-| 305|[apify/crawlee](https://github.com/apify/crawlee) |Crawlee是一个用于Node.js的网络爬虫和浏览器自动化库，可用于构建可靠的爬虫。支持JavaScript和TypeScript。提取用于AI、LLM、RAG或GPT的数据。从网站下载HTML、PDF、JPG、PNG和其他文件。与Puppeteer、Playwright、Cheerio、JSDOM和原始HTTP一起使用。支持有头和无头模式，并带有代理轮换功能。|
-| 306|[chroma-core/chroma](https://github.com/chroma-core/chroma)  |AI原生开源嵌入式数据库|
+| 305|[apify/crawlee](https://github.com/apify/crawlee) |Crawlee是一个用于Node.js的网络爬虫和浏览器自动化库，可用于构建可靠的爬虫。支持JavaScript和TypeScript。提取用于AI、LLM、RAG或GPT的数据。从网站下载HTML、PDF、JPG、PNG和其他文件。与Puppeteer、Playwright、Cheerio、JSDOM和原始HTTP一起使用。支持有头和无头模式，并带有代理轮换功能。|
+|⭐ 306|[chroma-core/chroma](https://github.com/chroma-core/chroma)  |AI原生开源嵌入式数据库|
| 307|[meta-llama/codellama](https://github.com/meta-llama/codellama) |CodeLlama模型的推理代码|
| 308|[dair-ai/ML-YouTube-Courses](https://github.com/dair-ai/ML-YouTube-Courses) |发现YouTube上最新的机器学习/人工智能课程。|
| 309|[pybind/pybind11](https://github.com/pybind/pybind11) |C 11和Python之间的无缝操作能力|
| 310|[microsoft/qlib](https://github.com/microsoft/qlib) |Qlib是一个面向人工智能的量化投资平台，旨在利用人工智能技术在量化投资领域实现潜力、赋予研究力量并创造价值，从探索理念到实施生产。Qlib支持多种机器学习建模范式，包括监督学习、市场动态建模和强化学习。|
-| 311|[RPCS3/rpcs3](https://github.com/RPCS3/rpcs3) |PS3模拟器/调试器|
-| 312|[BerriAI/litellm](https://github.com/BerriAI/litellm) |使用OpenAI格式调用所有LLM API。使用Bedrock，Azure，OpenAI，Cohere，Anthropic，Ollama，Sagemaker，HuggingFace，Replicate（100个LLM）。|
+| 311|[RPCS3/rpcs3](https://github.com/RPCS3/rpcs3) |PS3模拟器/调试器|
+| 312|[BerriAI/litellm](https://github.com/BerriAI/litellm) |使用OpenAI格式调用所有LLM API。使用Bedrock，Azure，OpenAI，Cohere，Anthropic，Ollama，Sagemaker，HuggingFace，Replicate（100个LLM）。|
| 313|[ddbourgin/numpy-ml](https://github.com/ddbourgin/numpy-ml) |机器学习，在numpy中。|
| 314|[Stability-AI/StableLM](https://github.com/Stability-AI/StableLM)  |稳定的人工智能语言模型。|
| 315|[meta-llama/llama-recipes](https://github.com/meta-llama/llama-recipes) |使用可组合的FSDP和PEFT方法对Llama2进行微调的脚本，以覆盖单节点/多节点GPU。支持默认和自定义数据集，适用于摘要和问答等应用程序。支持多种候选推理解决方案，如HF TGI、VLLM，适用于本地或云部署。演示应用程序，展示Llama2在WhatsApp和Messenger中的应用。|
-| 316|[THUDM/ChatGLM2-6B](https://github.com/THUDM/ChatGLM2-6B) |ChatGLM2-6B: 一个开源的双语对话语言模型|
+| 316|[THUDM/ChatGLM2-6B](https://github.com/THUDM/ChatGLM2-6B) |ChatGLM2-6B: 一个开源的双语对话语言模型|
| 317|[neondatabase/neon](https://github.com/neondatabase/neon) |Neon：无服务器的Postgres。我们将存储和计算分离，以提供自动扩展、类代码的数据库分支和零级扩展能力。|
-| 318|[TransformerOptimus/SuperAGI](https://github.com/TransformerOptimus/SuperAGI)  |<⚡️> SuperAGI - 一个以开发者为中心的开源自主人工智能代理框架。让开发者能够快速可靠地构建、管理和运行有用的自主代理。|
-| 319|[assafelovic/gpt-researcher](https://github.com/assafelovic/gpt-researcher) |基于GPT的自主代理程序，可对任何给定的主题进行在线全面研究。|
+| 318|[TransformerOptimus/SuperAGI](https://github.com/TransformerOptimus/SuperAGI)  |<⚡️> SuperAGI - 一个以开发者为中心的开源自主人工智能代理框架。让开发者能够快速可靠地构建、管理和运行有用的自主代理。|
+| 319|[assafelovic/gpt-researcher](https://github.com/assafelovic/gpt-researcher) |基于GPT的自主代理程序，可对任何给定的主题进行在线全面研究。|
| 320|[IDEA-Research/Grounded-Segment-Anything](https://github.com/IDEA-Research/Grounded-Segment-Anything)  |将Grounding DINO与Segment Anything & Stable Diffusion & BLIP相结合-通过图像和文本输入自动检测、分割和生成任何东西|
| 321|[umijs/umi](https://github.com/umijs/umi) |React社区中的一个框架 ✨|
| 322|[amplication/amplication](https://github.com/amplication/amplication) |唯一可投入生产的AI驱动后端代码生成|
| 323|[typescript-eslint/typescript-eslint](https://github.com/typescript-eslint/typescript-eslint) |为支持 TypeScript 的 ESLint 所有工具的单一代码库|
| 324|[sunner/ChatALL](https://github.com/sunner/ChatALL)  |与ChatGPT,Bing Chat,bard,Alpaca,Vincuna,Claude,ChatGLM,MOSS,iFlytek Spark,ERNIE等同时聊天,发现最佳答案|
| 325|[NVIDIA/open-gpu-kernel-modules](https://github.com/NVIDIA/open-gpu-kernel-modules) |NVIDIA Linux开源GPU内核模块源码|
-| 326|[serengil/deepface](https://github.com/serengil/deepface) |Python的轻量级人脸识别和面部属性分析（年龄、性别、情绪和种族）库|
+| 326|[serengil/deepface](https://github.com/serengil/deepface) |Python的轻量级人脸识别和面部属性分析（年龄、性别、情绪和种族）库|
| 327|[GaiZhenbiao/ChuanhuChatGPT](https://github.com/GaiZhenbiao/ChuanhuChatGPT) |ChatGPT API和许多LLMs的GUI。支持代理、基于文件的问答、GPT微调和带有网络搜索的查询。所有这些都有一个简洁的用户界面。|
| 328|[graphdeco-inria/gaussian-splatting](https://github.com/graphdeco-inria/gaussian-splatting) |"3D高斯点阵用于实时辐射场渲染"的原始参考实现。|
| 329|[KindXiaoming/pykan](https://github.com/KindXiaoming/pykan) |科尔莫戈洛夫-阿诺德网络。|
-| 330|[openai/evals](https://github.com/openai/evals)  |Evals是一个用于评估LLMs和LLM系统的框架，同时也是一个开源的基准测试注册表。|
-| 331|[abseil/abseil-cpp](https://github.com/abseil/abseil-cpp) |Abseil常用库（C++）|
+| 330|[openai/evals](https://github.com/openai/evals)  |Evals是一个用于评估LLMs和LLM系统的框架，同时也是一个开源的基准测试注册表。|
+| 331|[abseil/abseil-cpp](https://github.com/abseil/abseil-cpp) |Abseil常用库（C++）|
| 332|[microsoft/Bringing-Old-Photos-Back-to-Life](https://github.com/microsoft/Bringing-Old-Photos-Back-to-Life) |将老照片重现（CVPR 2020口头报告）|
| 333|[arc53/DocsGPT](https://github.com/arc53/DocsGPT) ||
-| 334|[microsoft/onnxruntime](https://github.com/microsoft/onnxruntime) |ONNX Runtime：跨平台、高性能的ML推断和训练加速器。|
-| 335|[QwenLM/Qwen-7B](https://github.com/QwenLM/Qwen-7B) |Qwen-7B（通义千问-7B）聊天与预训练大语言模型的官方仓库，由阿里云提出。|
+| 334|[microsoft/onnxruntime](https://github.com/microsoft/onnxruntime) |ONNX Runtime：跨平台、高性能的ML推断和训练加速器。|
+| 335|[QwenLM/Qwen-7B](https://github.com/QwenLM/Qwen-7B) |Qwen-7B（通义千问-7B）聊天与预训练大语言模型的官方仓库，由阿里云提出。|
| 336|[Raphire/Win11Debloat](https://github.com/Raphire/Win11Debloat) |一个简单易用的PowerShell脚本，用于从Windows中移除预安装应用程序，禁用遥测，将Bing从Windows搜索中移除，并执行各种其他更改以简化和改善您的Windows体验。此脚本适用于Windows 10和Windows 11。|
-| 337|[kestra-io/kestra](https://github.com/kestra-io/kestra) |⚡ 工作流自动化平台。编排和调度任何语言的代码，在任何地方运行，具有 500 个插件。是 Zapier、Rundeck、Camunda、Airflow 的替代品。|
-| 338|[VikParuchuri/surya](https://github.com/VikParuchuri/surya) |任何语言的准确行级文本检测和识别（OCR）|
+| 337|[kestra-io/kestra](https://github.com/kestra-io/kestra) |⚡ 工作流自动化平台。编排和调度任何语言的代码，在任何地方运行，具有 500 个插件。是 Zapier、Rundeck、Camunda、Airflow 的替代品。|
+| 338|[VikParuchuri/surya](https://github.com/VikParuchuri/surya) |任何语言的准确行级文本检测和识别（OCR）|
| 339|[influxdata/telegraf](https://github.com/influxdata/telegraf) |代理程序用于收集、处理、聚合和编写指标、日志和其他任意数据。|
| 340| [mayooear/gpt4-pdf-chatbot-langchain](https://github.com/mayooear/gpt4-pdf-chatbot-langchain)  | GPT4和LangChain聊天机器人用于大型PDF文档 |
| 341|[CopilotKit/CopilotKit](https://github.com/CopilotKit/CopilotKit) |在React Web应用中集成应用内AI聊天机器人🤖和AI驱动的文本区域✨。|
-| 342|[Dao-AILab/flash-attention](https://github.com/Dao-AILab/flash-attention) |快速且内存高效的精确注意力机制|
-| 343|[teableio/teable](https://github.com/teableio/teable) |"✨ The Next Gen Airtable Alternative: No-Code Postgres" 的中文翻译为：✨下一代Airtable替代品：无代码Postgres。|
+| 342|[Dao-AILab/flash-attention](https://github.com/Dao-AILab/flash-attention) |快速且内存高效的精确注意力机制|
+| 343|[teableio/teable](https://github.com/teableio/teable) |"✨ The Next Gen Airtable Alternative: No-Code Postgres" 的中文翻译为：✨下一代Airtable替代品：无代码Postgres。|
| 344|[apache/arrow](https://github.com/apache/arrow) |Apache Arrow 是一个用于加速数据交换和内存处理的多语言工具包。|
| 345|[alibaba/lowcode-engine](https://github.com/alibaba/lowcode-engine) |一套面向扩展设计的企业级低代码技术体系|
| 346|[xcanwin/KeepChatGPT](https://github.com/xcanwin/KeepChatGPT)  |使用ChatGPT过程中更高效、更顺畅，完美解决ChatGPT网络错误，不再频繁地刷新网页，足足省去10个多余的步骤|
@@ -380,13 +380,13 @@
| 348|[AI4Finance-Foundation/FinGPT](https://github.com/AI4Finance-Foundation/FinGPT) |数据中心的FinGPT。开源用于开放金融！彻底改变🔥 我们将很快发布经过训练的模型。|
| 349|[HumanAIGC/AnimateAnyone](https://github.com/HumanAIGC/AnimateAnyone) |任何人的动画: 一致且可控的图像到视频合成，用于角色动画|
| 350|[overleaf/overleaf](https://github.com/overleaf/overleaf) |一个基于网络的协作式LaTeX编辑器。|
-| 351|[LlamaFamily/Llama-Chinese](https://github.com/LlamaFamily/Llama-Chinese) |Llama中文社区，最好的中文Llama大模型，完全开源可商用。|
+| 351|[LlamaFamily/Llama-Chinese](https://github.com/LlamaFamily/Llama-Chinese) |Llama中文社区，最好的中文Llama大模型，完全开源可商用。|
| 352|[eosphoros-ai/DB-GPT](https://github.com/eosphoros-ai/DB-GPT) |革新数据库互动，私有LLM技术登场。|
-| 353|[datawhalechina/leedl-tutorial](https://github.com/datawhalechina/leedl-tutorial) |《李宏毅深度学习教程》（李宏毅老师推荐👍），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases|
-| 354|[espressif/esp-idf](https://github.com/espressif/esp-idf) |Espressif物联网开发框架。Espressif SoCs的官方开发框架。|
+| 353|[datawhalechina/leedl-tutorial](https://github.com/datawhalechina/leedl-tutorial) |《李宏毅深度学习教程》（李宏毅老师推荐👍），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases|
+| 354|[espressif/esp-idf](https://github.com/espressif/esp-idf) |Espressif物联网开发框架。Espressif SoCs的官方开发框架。|
| 355|[mlc-ai/web-llm](https://github.com/mlc-ai/web-llm)  |将大型语言模型和聊天引入Web浏览器。所有功能均在浏览器内运行，不需要服务器支持。|
-| 356|[princeton-nlp/SWE-agent](https://github.com/princeton-nlp/SWE-agent) |软件工程代理：代理计算机界面使软件工程语言模型得以实现。|
-| 357|[Zeyi-Lin/HivisionIDPhotos](https://github.com/Zeyi-Lin/HivisionIDPhotos) |⚡️HivisionIDPhotos：一个轻量级且高效的AI证件照工具。|
+| 356|[princeton-nlp/SWE-agent](https://github.com/princeton-nlp/SWE-agent) |软件工程代理：代理计算机界面使软件工程语言模型得以实现。|
+| 357|[Zeyi-Lin/HivisionIDPhotos](https://github.com/Zeyi-Lin/HivisionIDPhotos) |⚡️HivisionIDPhotos：一个轻量级且高效的AI证件照工具。|
| 358|[unifyai/ivy](https://github.com/unifyai/ivy) |统一人工智能|
| 359|[bleedline/aimoneyhunter](https://github.com/bleedline/aimoneyhunter) |AI副业赚钱大集合，教你如何利用人工智能做一些副业项目，赚取更多额外收益。|
| 360|[naklecha/llama3-from-scratch](https://github.com/naklecha/llama3-from-scratch) |一次实现一个矩阵乘法的llama3实现|
@@ -395,67 +395,67 @@
| 363|[triton-lang/triton](https://github.com/triton-lang/triton) |Triton 语言和编译器的开发存储库|
| 364|[soxoj/maigret](https://github.com/soxoj/maigret) |🕵️♂️ 从成千上万的网站中，通过用户名收集一个人的档案。|
| 365|[stefan-jansen/machine-learning-for-trading](https://github.com/stefan-jansen/machine-learning-for-trading) |机器学习在算法交易中的代码，第二版。|
-| 366|[letta-ai/letta](https://github.com/letta-ai/letta) |Letta（原名MemGPT）是一个用于创建带有记忆功能的LLM服务的框架。|
-| 367|[Byaidu/PDFMathTranslate](https://github.com/Byaidu/PDFMathTranslate) |具有保留格式的 PDF 科学论文翻译 - 基于 AI 完整保留排版的 PDF 文档全文双语翻译，支持 Google/DeepL/Ollama/OpenAI 等服务，提供 CLI/GUI/Docker|
-| 368|[state-spaces/mamba](https://github.com/state-spaces/mamba) | Mamba：具有选择性状态空间的线性时间序列建模|
+| 366|[Byaidu/PDFMathTranslate](https://github.com/Byaidu/PDFMathTranslate) |具有保留格式的 PDF 科学论文翻译 - 基于 AI 完整保留排版的 PDF 文档全文双语翻译，支持 Google/DeepL/Ollama/OpenAI 等服务，提供 CLI/GUI/Docker|
+| 367|[letta-ai/letta](https://github.com/letta-ai/letta) |Letta（原名MemGPT）是一个用于创建带有记忆功能的LLM服务的框架。|
+| 368|[state-spaces/mamba](https://github.com/state-spaces/mamba) | Mamba：具有选择性状态空间的线性时间序列建模|
| 369|[THUDM/ChatGLM3](https://github.com/THUDM/ChatGLM3) |ChatGLM3 系列：开放式双语对话语言模型|
| 370|[steven-tey/novel](https://github.com/steven-tey/novel) |Notion风格的所见即所得编辑器，带有基于人工智能的自动完成功能。|
-| 371|[neonbjb/tortoise-tts](https://github.com/neonbjb/tortoise-tts)  |一个重点训练于质量的多音频文本到语音系统|
+| 371|[neonbjb/tortoise-tts](https://github.com/neonbjb/tortoise-tts)  |一个重点训练于质量的多音频文本到语音系统|
| 372|[BradyFU/Awesome-Multimodal-Large-Language-Models](https://github.com/BradyFU/Awesome-Multimodal-Large-Language-Models) |最新论文和数据集关于多模态大型语言模型。|
| 373| [fuergaosi233/wechat-chatgpt](https://github.com/fuergaosi233/wechat-chatgpt)  | 微信接入ChatGPT |
| 374|[pgvector/pgvector](https://github.com/pgvector/pgvector) |开源的矢量相似性搜索适用于Postgres。|
-| 375|[guillaumekln/faster-whisper](https://github.com/guillaumekln/faster-whisper)  |Faster Whisper转录使用CTranslate2。|
+| 375|[guillaumekln/faster-whisper](https://github.com/guillaumekln/faster-whisper)  |Faster Whisper转录使用CTranslate2。|
| 376| [wong2/chatgpt-google-extension](https://github.com/wong2/chatgpt-google-extension)  | 基于ChatGPT的浏览器插件，搜索时同步查询ChatGPT，对目前流行的搜索引擎都支持。该项目2023-02-20后不再维护 |
| 377|[adobe/react-spectrum](https://github.com/adobe/react-spectrum) |一个帮助您构建适应性强、易于访问和稳健的用户体验的库和工具集。|
| 378|[lukas-blecher/LaTeX-OCR](https://github.com/lukas-blecher/LaTeX-OCR) |将图像中的方程式转换成 LaTeX 代码，使用 ViT 技术的 pix2tex。|
-| 379|[m-bain/whisperX](https://github.com/m-bain/whisperX) |WhisperX：具有单词级时间戳（和说话者分离）的自动语音识别。|
-| 380|[nocobase/nocobase](https://github.com/nocobase/nocobase) |NocoBase 是一个以可扩展性为首要考虑因素的开源无代码/低代码平台，用于构建商业应用和企业解决方案。|
-| 381|[chidiwilliams/buzz](https://github.com/chidiwilliams/buzz)  |Buzz使用OpenAI的Whisper技术，在个人计算机上离线转录和翻译音频。|
+| 379|[m-bain/whisperX](https://github.com/m-bain/whisperX) |WhisperX：具有单词级时间戳（和说话者分离）的自动语音识别。|
+| 380|[nocobase/nocobase](https://github.com/nocobase/nocobase) |NocoBase 是一个以可扩展性为首要考虑因素的开源无代码/低代码平台，用于构建商业应用和企业解决方案。|
+| 381|[chidiwilliams/buzz](https://github.com/chidiwilliams/buzz)  |Buzz使用OpenAI的Whisper技术，在个人计算机上离线转录和翻译音频。|
| 382|[OpenBMB/MiniCPM-V](https://github.com/OpenBMB/MiniCPM-V) |MiniCPM-V 2.0：具有强大OCR和理解能力的高效端侧MLLM|
| 383|[BlinkDL/RWKV-LM](https://github.com/BlinkDL/RWKV-LM)  |RWKV是具有变形金刚级别LLM性能的RNN。它可以像GPT一样直接进行训练（可并行化）。因此，它结合了RNN和变形金刚的优点 - 出色的性能、快速推断、节省VRAM、快速训练、"无限"的ctx_len（上下文长度）和免费的句子嵌入。|
-| 384|[openai/tiktoken](https://github.com/openai/tiktoken) |tiktoken是一个快速的BPE分词器，用于与OpenAI的模型配合使用。|
-| 385|[e2b-dev/awesome-ai-agents](https://github.com/e2b-dev/awesome-ai-agents) |AI自主代理的列表|
+| 384|[openai/tiktoken](https://github.com/openai/tiktoken) |tiktoken是一个快速的BPE分词器，用于与OpenAI的模型配合使用。|
+| 385|[e2b-dev/awesome-ai-agents](https://github.com/e2b-dev/awesome-ai-agents) |AI自主代理的列表|
| 386|[NVIDIA/NeMo](https://github.com/NVIDIA/NeMo) |一个可扩展的生成式人工智能框架，专为从事大型语言模型、多态和语音人工智能（自动语音识别和文本到语音）研究和开发的研究人员开发者构建。|
-| 387|[Koenkk/zigbee2mqtt](https://github.com/Koenkk/zigbee2mqtt) |Zigbee 🐝 到 MQTT 桥接器 🌉，摆脱你专用的 Zigbee 桥 🔨|
+| 387|[Koenkk/zigbee2mqtt](https://github.com/Koenkk/zigbee2mqtt) |Zigbee 🐝 到 MQTT 桥接器 🌉，摆脱你专用的 Zigbee 桥 🔨|
| 388|[microsoft/BitNet](https://github.com/microsoft/BitNet) |1位量化语言模型的官方推理框架。|
| 389|[vanna-ai/vanna](https://github.com/vanna-ai/vanna) |与您的SQL数据库📊进行对话🤖。通过RAG🔄利用LLM实现准确的文本转SQL生成。|
| 390|[xenova/transformers.js](https://github.com/xenova/transformers.js) |网络的最先进机器学习。在您的浏览器中直接运行🤗变换器，无需服务器！|
| 391|[pytube/pytube](https://github.com/pytube/pytube) |一个轻量级、无依赖的 Python 库（及命令行实用程序），用于下载 YouTube 视频。|
-| 392|[udecode/plate](https://github.com/udecode/plate) |由人工智能驱动的富文本编辑器|
-| 393|[1Panel-dev/MaxKB](https://github.com/1Panel-dev/MaxKB) |基于LLM大语言模型的知识库问答系统。开箱即用，支持快速嵌入到第三方业务系统，1Panel官方出品。|
+| 392|[udecode/plate](https://github.com/udecode/plate) |由人工智能驱动的富文本编辑器|
+| 393|[1Panel-dev/MaxKB](https://github.com/1Panel-dev/MaxKB) |基于LLM大语言模型的知识库问答系统。开箱即用，支持快速嵌入到第三方业务系统，1Panel官方出品。|
| 394|[plasma-umass/scalene](https://github.com/plasma-umass/scalene) |Scalene：一个针对Python的高性能、高精度的CPU、GPU和内存性能分析工具，具备AI驱动的优化建议。|
| 395|[netease-youdao/QAnything](https://github.com/netease-youdao/QAnything) |问题和答案，基于任何事物。|
| 396|[OpenTalker/SadTalker](https://github.com/OpenTalker/SadTalker) |[CVPR 2023] SadTalker：学习风格化音频驱动的单图像说话人脸动画的逼真3D运动系数|
| 397|[stas00/ml-engineering](https://github.com/stas00/ml-engineering) | 机器学习工程指南和工具 |
| 398|[facebookresearch/AnimatedDrawings](https://github.com/facebookresearch/AnimatedDrawings)  |用于配合"一种为儿童手绘人体图形制作动画的方法"的代码|
| 399| [willwulfken/MidJourney-Styles-and-Keywords-Reference](https://github.com/willwulfken/MidJourney-Styles-and-Keywords-Reference)  | 包含MidJourney AI可用的样式和关键词的参考文献|
-| 400|[official-stockfish/Stockfish](https://github.com/official-stockfish/Stockfish) |UCI 国际象棋引擎|
-| 401|[OpenLMLab/MOSS](https://github.com/OpenLMLab/MOSS)  |一种来自复旦大学的开源工具增强对话语言模型|
+| 400|[official-stockfish/Stockfish](https://github.com/official-stockfish/Stockfish) |UCI 国际象棋引擎|
+| 401|[OpenLMLab/MOSS](https://github.com/OpenLMLab/MOSS)  |一种来自复旦大学的开源工具增强对话语言模型|
| 402|[smol-ai/developer](https://github.com/smol-ai/developer)  |随着10万个上下文窗口的出现，每个开发人员能拥有自己的小型开发助理|
| 403|[PKU-YuanGroup/Open-Sora-Plan](https://github.com/PKU-YuanGroup/Open-Sora-Plan) |这个项目旨在复现Sora（Open AI T2V 模型），但我们只有有限的资源。我们衷心希望所有开源社区能为这个项目贡献力量。|
| 404|[illacloud/illa-builder](https://github.com/illacloud/illa-builder) |像组装积木一样创建基于人工智能的应用程序|
-| 405|[openai/shap-e](https://github.com/openai/shap-e)  |使用文本或图像作为条件生成3D对象。|
+| 405|[openai/shap-e](https://github.com/openai/shap-e)  |使用文本或图像作为条件生成3D对象。|
| 406|[bytebase/bytebase](https://github.com/bytebase/bytebase) |全球最先进的数据库DevOps和CI/CD解决方案，面向开发人员、数据库管理员和平台工程团队。这是数据库DevOps的GitLab/GitHub。|
| 407|[mrdbourke/pytorch-deep-learning](https://github.com/mrdbourke/pytorch-deep-learning) |材料用于学习PyTorch深度学习：从零到精通课程。|
-| 408|[ShishirPatil/gorilla](https://github.com/ShishirPatil/gorilla)  |大猩猩：一个面向LLM（大型语言模型）的API商店。|
-| 409|[h2oai/h2ogpt](https://github.com/h2oai/h2ogpt)  |加入这一运动，由H2O.ai领导，打造世界上最好的开源GPT——100%私密的聊天和文档搜索，无数据泄漏，采用Apache 2.0许可协议。|
+| 408|[ShishirPatil/gorilla](https://github.com/ShishirPatil/gorilla)  |大猩猩：一个面向LLM（大型语言模型）的API商店。|
+| 409|[h2oai/h2ogpt](https://github.com/h2oai/h2ogpt)  |加入这一运动，由H2O.ai领导，打造世界上最好的开源GPT——100%私密的聊天和文档搜索，无数据泄漏，采用Apache 2.0许可协议。|
| 410|[QwenLM/Qwen2.5](https://github.com/QwenLM/Qwen2.5) |Qwen2.5 是阿里云 Qwen团队开发的大型语言模型系列。|
| 411|[ggerganov/ggml](https://github.com/ggerganov/ggml)  |机器学习的张量库|
-| 412|[eugeneyan/open-llms](https://github.com/eugeneyan/open-llms)  |一份可供商业使用的开放式LLM列表|
-| 413|[mediar-ai/screenpipe](https://github.com/mediar-ai/screenpipe) |全天候本地 AI 屏幕和麦克风录制。构建具有完整上下文的 AI 应用程序。与 Ollama 配合使用。Rewind.ai 的替代方案。开放、安全。您拥有您的数据。Rust。|
-| 414|[danswer-ai/danswer](https://github.com/danswer-ai/danswer) |用自然语言提问并获取由私人来源支持的答案。可以连接到诸如Slack、GitHub、Confluence等工具。|
-| 415|[pathwaycom/llm-app](https://github.com/pathwaycom/llm-app) |准备就绪的云模板，用于RAG、AI管道和具有实时数据的企业搜索。🐳友好的Docker。⚡始终与Sharepoint、Google Drive、S3、Kafka、PostgreSQL、实时数据API等保持同步。|
-| 416|[Skyvern-AI/skyvern](https://github.com/Skyvern-AI/skyvern) |使用LLMs和计算机视觉自动化基于浏览器的工作流程。|
+| 412|[mediar-ai/screenpipe](https://github.com/mediar-ai/screenpipe) |全天候本地 AI 屏幕和麦克风录制。构建具有完整上下文的 AI 应用程序。与 Ollama 配合使用。Rewind.ai 的替代方案。开放、安全。您拥有您的数据。Rust。|
+| 413|[eugeneyan/open-llms](https://github.com/eugeneyan/open-llms)  |一份可供商业使用的开放式LLM列表|
+| 414|[danswer-ai/danswer](https://github.com/danswer-ai/danswer) |用自然语言提问并获取由私人来源支持的答案。可以连接到诸如Slack、GitHub、Confluence等工具。|
+| 415|[pathwaycom/llm-app](https://github.com/pathwaycom/llm-app) |准备就绪的云模板，用于RAG、AI管道和具有实时数据的企业搜索。🐳友好的Docker。⚡始终与Sharepoint、Google Drive、S3、Kafka、PostgreSQL、实时数据API等保持同步。|
+| 416|[Skyvern-AI/skyvern](https://github.com/Skyvern-AI/skyvern) |使用LLMs和计算机视觉自动化基于浏览器的工作流程。|
| 417|[kgrzybek/modular-monolith-with-ddd](https://github.com/kgrzybek/modular-monolith-with-ddd) |基于领域驱动设计思想的全模块单体应用。|
| 418|[hajimehoshi/ebiten](https://github.com/hajimehoshi/ebiten) |Ebitengine是一个简单易用的2D游戏引擎，适用于Go语言。|
| 419|[DataTalksClub/mlops-zoomcamp](https://github.com/DataTalksClub/mlops-zoomcamp) |DataTalks.Club提供免费的MLOps课程。|
| 420|[InstantID/InstantID](https://github.com/InstantID/InstantID) |InstantID：零售身份保留生成，瞬间完成🔥|
| 421|[kubeshark/kubeshark](https://github.com/kubeshark/kubeshark) |Kubernetes的API流量分析器提供实时的K8s协议级别的可见性，捕获和监控所有流量和载荷在容器、Pod、节点和集群之间进出。受到Wireshark的启发，专门为Kubernetes构建。|
| 422|[owainlewis/awesome-artificial-intelligence](https://github.com/owainlewis/awesome-artificial-intelligence) |人工智能（AI）课程、图书、视频讲座和论文精选列表。|
-| 423|[Rudrabha/Wav2Lip](https://github.com/Rudrabha/Wav2Lip) |该存储库包含了《一个唇同步专家足以实现野外语音到唇形生成》的代码，该论文发表于2020年的ACM Multimedia会议。|
+| 423|[Rudrabha/Wav2Lip](https://github.com/Rudrabha/Wav2Lip) |该存储库包含了《一个唇同步专家足以实现野外语音到唇形生成》的代码，该论文发表于2020年的ACM Multimedia会议。|
| 424|[Lightning-AI/litgpt](https://github.com/Lightning-AI/litgpt) |在您自己的数据上预训练、微调和部署 20 个LLM模型。采用最先进的技术：闪光注意力、FSDP、4位、LoRA 等。|
-| 425|[facebookresearch/seamless_communication](https://github.com/facebookresearch/seamless_communication) |先进语音和文本翻译的基础模型|
-| 426|[Shubhamsaboo/awesome-llm-apps](https://github.com/Shubhamsaboo/awesome-llm-apps) |使用OpenAI、Anthropic、Gemini和开源模型，收集了一系列出色的LLM应用程序与RAG。|
+| 425|[facebookresearch/seamless_communication](https://github.com/facebookresearch/seamless_communication) |先进语音和文本翻译的基础模型|
+| 426|[Shubhamsaboo/awesome-llm-apps](https://github.com/Shubhamsaboo/awesome-llm-apps) |使用OpenAI、Anthropic、Gemini和开源模型，收集了一系列出色的LLM应用程序与RAG。|
| 427|[NVIDIA/Megatron-LM](https://github.com/NVIDIA/Megatron-LM) | 规模化进行转换模型的持续研究培训|
| 428|[NVIDIA/TensorRT](https://github.com/NVIDIA/TensorRT) |NVIDIA® TensorRT™是用于在NVIDIA GPU上进行高性能深度学习推断的SDK。此存储库包含TensorRT的开源组件。|
| 429|[plandex-ai/plandex](https://github.com/plandex-ai/plandex) |复杂任务的人工智能编码引擎|
@@ -463,58 +463,58 @@
| 431|[vercel-labs/ai](https://github.com/vercel-labs/ai) |使用React、Svelte和Vue构建基于人工智能的应用程序。|
| 432|[karpathy/micrograd](https://github.com/karpathy/micrograd) |一个微小的标量值自动求导引擎，以及在其之上具有类似PyTorch API的神经网络库|
| 433|[databrickslabs/dolly](https://github.com/databrickslabs/dolly)  | 一个在 Databricks 机器学习平台上训练的大型语言模型 |
-| 434|[activepieces/activepieces](https://github.com/activepieces/activepieces) |您最友好的开源一体化自动化工具 ✨ 工作流自动化工具 100 集成 / 企业自动化工具 / Zapier 替代方案|
+| 434|[activepieces/activepieces](https://github.com/activepieces/activepieces) |您最友好的开源一体化自动化工具 ✨ 工作流自动化工具 100 集成 / 企业自动化工具 / Zapier 替代方案|
| 435|[RUCAIBox/LLMSurvey](https://github.com/RUCAIBox/LLMSurvey)  |一个与大型语言模型相关的论文和资源集合。|
-| 436|[WordPress/gutenberg](https://github.com/WordPress/gutenberg) |WordPress及更多平台的区块编辑器项目。插件可在官方仓库中获得。|
-| 437|[libretro/RetroArch](https://github.com/libretro/RetroArch) |跨平台、复杂的 libretro API 前端。采用 GPLv3 许可。|
+| 436|[WordPress/gutenberg](https://github.com/WordPress/gutenberg) |WordPress及更多平台的区块编辑器项目。插件可在官方仓库中获得。|
+| 437|[libretro/RetroArch](https://github.com/libretro/RetroArch) |跨平台、复杂的 libretro API 前端。采用 GPLv3 许可。|
| 438|[magic-research/magic-animate](https://github.com/magic-research/magic-animate) |MagicAnimate: 使用扩散模型实现时间一致的人体图像动画|
-| 439|[vercel/ai-chatbot](https://github.com/vercel/ai-chatbot) |由Vercel构建的功能齐全、可定制的Next.js AI聊天机器人。|
-| 440|[dair-ai/ML-Papers-of-the-Week](https://github.com/dair-ai/ML-Papers-of-the-Week)  |每周精选顶级机器学习论文。|
+| 439|[vercel/ai-chatbot](https://github.com/vercel/ai-chatbot) |由Vercel构建的功能齐全、可定制的Next.js AI聊天机器人。|
+| 440|[dair-ai/ML-Papers-of-the-Week](https://github.com/dair-ai/ML-Papers-of-the-Week)  |每周精选顶级机器学习论文。|
| 441|[HigherOrderCO/HVM](https://github.com/HigherOrderCO/HVM) |Rust中的大规模并行、最佳功能运行时|
| 442|[lz4/lz4](https://github.com/lz4/lz4) |极快压缩算法|
| 443|[Z3Prover/z3](https://github.com/Z3Prover/z3) |Z3定理证明器|
| 444|[huggingface/trl](https://github.com/huggingface/trl) |用强化学习训练Transformer语言模型。|
| 445|[szimek/sharedrop](https://github.com/szimek/sharedrop) |简单的点对点文件传输，由WebRTC提供支持 - 受到苹果AirDrop的启发。|
-| 446|[bentoml/OpenLLM](https://github.com/bentoml/OpenLLM) |一个用于在生产环境中操作大型语言模型（LLMs）的开放平台。轻松进行微调、提供服务、部署和监控任何LLMs。|
-| 447|[PaperMC/Paper](https://github.com/PaperMC/Paper) |最广泛使用、性能卓越的 Minecraft 服务器，旨在解决游戏性和机制不一致问题。|
-| 448|[srush/GPU-Puzzles](https://github.com/srush/GPU-Puzzles) |解决谜题。学习CUDA。|
+| 446|[PaperMC/Paper](https://github.com/PaperMC/Paper) |最广泛使用、性能卓越的 Minecraft 服务器，旨在解决游戏性和机制不一致问题。|
+| 447|[bentoml/OpenLLM](https://github.com/bentoml/OpenLLM) |一个用于在生产环境中操作大型语言模型（LLMs）的开放平台。轻松进行微调、提供服务、部署和监控任何LLMs。|
+| 448|[srush/GPU-Puzzles](https://github.com/srush/GPU-Puzzles) |解决谜题。学习CUDA。|
| 449|[zyronon/douyin](https://github.com/zyronon/douyin) |Vue3 Pinia Vite5 仿抖音，Vue 在移动端的最佳实践|
-| 450|[vosen/ZLUDA](https://github.com/vosen/ZLUDA) |AMD GPU 上的 CUDA|
+| 450|[vosen/ZLUDA](https://github.com/vosen/ZLUDA) |AMD GPU 上的 CUDA|
| 451|[THU-MIG/yolov10](https://github.com/THU-MIG/yolov10) |YOLOv10：实时端到端物体检测|
| 452|[normal-computing/outlines](https://github.com/normal-computing/outlines) |生成模型编程|
-| 453|[aws/amazon-sagemaker-examples](https://github.com/aws/amazon-sagemaker-examples) |示例📓 Jupyter笔记本，演示如何使用🧠亚马逊SageMaker构建、训练和部署机器学习模型。|
+| 453|[aws/amazon-sagemaker-examples](https://github.com/aws/amazon-sagemaker-examples) |示例📓 Jupyter笔记本，演示如何使用🧠亚马逊SageMaker构建、训练和部署机器学习模型。|
| 454|[artidoro/qlora](https://github.com/artidoro/qlora)  |QLoRA：量化LLM的高效微调|
-| 455|[LibreTranslate/LibreTranslate](https://github.com/LibreTranslate/LibreTranslate) |免费开源机器翻译API。支持自托管，离线可用且易于设置。|
-| 456|[THUDM/CogVideo](https://github.com/THUDM/CogVideo) |文本到视频生成：CogVideoX（2024）和CogVideo（ICLR 2023）|
+| 455|[LibreTranslate/LibreTranslate](https://github.com/LibreTranslate/LibreTranslate) |免费开源机器翻译API。支持自托管，离线可用且易于设置。|
+| 456|[THUDM/CogVideo](https://github.com/THUDM/CogVideo) |文本到视频生成：CogVideoX（2024）和CogVideo（ICLR 2023）|
| 457|[salesforce/LAVIS](https://github.com/salesforce/LAVIS)  |LAVIS - 一站式语言视觉智能图书馆|
| 458| [chathub-dev/chathub](https://github.com/chathub-dev/chathub)  | 将ChatGPT和new Bing Chat集成在一起的聊天客户端 |
| 459|[AIGC-Audio/AudioGPT](https://github.com/AIGC-Audio/AudioGPT)  |AudioGPT：理解和生成语音、音乐、声音和说话人头像|
| 460|[kedro-org/kedro](https://github.com/kedro-org/kedro) |Kedro是一个用于生产就绪数据科学的工具箱。它使用软件工程的最佳实践，帮助您创建可重现、可维护和模块化的数据工程和数据科学流程。|
-| 461|[electric-sql/pglite](https://github.com/electric-sql/pglite) |轻量级的 Postgres 被打包为 WASM，并作为 TypeScript 库，适用于浏览器、Node.js、Bun 和 Deno，网址是 https://electric-sql.com。|
-| 462| [TheR1D/shell_gpt](https://github.com/TheR1D/shell_gpt)  | 由ChatGPT驱动的命令行生产力工具，将帮助您更快、更高效地完成任务 |
-| 463|[aishwaryanr/awesome-generative-ai-guide](https://github.com/aishwaryanr/awesome-generative-ai-guide) ||
+| 461|[electric-sql/pglite](https://github.com/electric-sql/pglite) |轻量级的 Postgres 被打包为 WASM，并作为 TypeScript 库，适用于浏览器、Node.js、Bun 和 Deno，网址是 https://electric-sql.com。|
+| 462| [TheR1D/shell_gpt](https://github.com/TheR1D/shell_gpt)  | 由ChatGPT驱动的命令行生产力工具，将帮助您更快、更高效地完成任务 |
+| 463|[aishwaryanr/awesome-generative-ai-guide](https://github.com/aishwaryanr/awesome-generative-ai-guide) ||
| 464|[cumulo-autumn/StreamDiffusion](https://github.com/cumulo-autumn/StreamDiffusion) |流扩散：面向实时交互式生成的管道级解决方案|
| 465|[mistralai/mistral-src](https://github.com/mistralai/mistral-src) |Mistral AI 7B v0.1模型的参考实现。|
| 466|[DataTalksClub/machine-learning-zoomcamp](https://github.com/DataTalksClub/machine-learning-zoomcamp) |《机器学习训练营》书籍中的代码以及基于该书的免费课程。|
| 467|[NielsRogge/Transformers-Tutorials](https://github.com/NielsRogge/Transformers-Tutorials) |这个存储库包含我用HuggingFace的Transformers库制作的演示。|
| 468|[microsoft/promptflow](https://github.com/microsoft/promptflow) |构建高质量的LLM应用程序 - 从原型设计、测试到生产部署和监控。|
| 469|[nerfstudio-project/nerfstudio](https://github.com/nerfstudio-project/nerfstudio) |一个适合NeRFs合作的工作室。|
-| 470|[Unstructured-IO/unstructured](https://github.com/Unstructured-IO/unstructured) |用于构建自定义预处理流水线的开源库和API，用于标记、训练或生产机器学习流水线。|
-| 471|[cupy/cupy](https://github.com/cupy/cupy) |NumPy和SciPy用于GPU。|
-| 472|[deepseek-ai/DeepSeek-Coder](https://github.com/deepseek-ai/DeepSeek-Coder) |深度探索编码者：让代码自己书写。|
-| 473|[TheRamU/Fay](https://github.com/TheRamU/Fay)  |Fay是一个完整的开源项目，包含Fay控制器及数字人模型，可灵活组合出不同的应用场景：虚拟主播、数字人互动等|
-| 474|[facebookresearch/dinov2](https://github.com/facebookresearch/dinov2)  |DINOv2自监督学习方法的PyTorch代码和模型。|
-| 475|[andrewyng/aisuite](https://github.com/andrewyng/aisuite) |多个生成式人工智能提供商的简单统一接口|
+| 470|[Unstructured-IO/unstructured](https://github.com/Unstructured-IO/unstructured) |用于构建自定义预处理流水线的开源库和API，用于标记、训练或生产机器学习流水线。|
+| 471|[cupy/cupy](https://github.com/cupy/cupy) |NumPy和SciPy用于GPU。|
+| 472|[deepseek-ai/DeepSeek-Coder](https://github.com/deepseek-ai/DeepSeek-Coder) |深度探索编码者：让代码自己书写。|
+| 473|[TheRamU/Fay](https://github.com/TheRamU/Fay)  |Fay是一个完整的开源项目，包含Fay控制器及数字人模型，可灵活组合出不同的应用场景：虚拟主播、数字人互动等|
+| 474|[facebookresearch/dinov2](https://github.com/facebookresearch/dinov2)  |DINOv2自监督学习方法的PyTorch代码和模型。|
+| 475|[andrewyng/aisuite](https://github.com/andrewyng/aisuite) |多个生成式人工智能提供商的简单统一接口|
| 476|[huggingface/text-generation-inference](https://github.com/huggingface/text-generation-inference) |大型语言模型文本生成推理|
| 477|[popcorn-official/popcorn-desktop](https://github.com/popcorn-official/popcorn-desktop) |Popcorn Time 是一款跨平台的免费软件 BitTorrent 客户端，包括集成的媒体播放器（Windows / Mac / Linux），它是 Butter 项目的一个分支。|
-| 478|[ai16z/eliza](https://github.com/ai16z/eliza) |Twitter 和 Discord 的对话代理|
+| 478|[ai16z/eliza](https://github.com/ai16z/eliza) |Twitter 和 Discord 的对话代理|
| 479| [BloopAI/bloop](https://github.com/BloopAI/bloop)  | 用 Rust 写的快速代码搜索引擎，它使用 GPT-4 来回答关于你的代码的问题|
-| 480|[BlinkDL/ChatRWKV](https://github.com/BlinkDL/ChatRWKV)  |ChatRWKV类似于ChatGPT，但是由RWKV（100% RNN）语言模型提供支持，并且是开源的。|
+| 480|[BlinkDL/ChatRWKV](https://github.com/BlinkDL/ChatRWKV)  |ChatRWKV类似于ChatGPT，但是由RWKV（100% RNN）语言模型提供支持，并且是开源的。|
| 481|[mshumer/gpt-prompt-engineer](https://github.com/mshumer/gpt-prompt-engineer) |请提供您需要翻译的内容，我会尽快帮您翻译。|
| 482|[sashabaranov/go-openai](https://github.com/sashabaranov/go-openai) |OpenAI ChatGPT，GPT-3，GPT-4，DALL·E，Whisper API 的 Go 语言封装器|
| 483|[wandb/wandb](https://github.com/wandb/wandb) |一个用于可视化和跟踪机器学习实验的工具。该存储库包含命令行界面和Python API。|
| 484|[burn-rs/burn](https://github.com/burn-rs/burn) |Burn - 一个灵活且全面的Rust深度学习框架。|
-| 485|[bigscience-workshop/petals](https://github.com/bigscience-workshop/petals) |🌸 在家中以BitTorrent的方式运行大型语言模型。微调和推理速度比外部处理快10倍。|
+| 485|[bigscience-workshop/petals](https://github.com/bigscience-workshop/petals) |🌸 在家中以BitTorrent的方式运行大型语言模型。微调和推理速度比外部处理快10倍。|
| 486|[autowarefoundation/autoware](https://github.com/autowarefoundation/autoware) |Autoware - 面向自动驾驶的全球领先开源软件项目|
| 487|[karpathy/minbpe](https://github.com/karpathy/minbpe) |字节对编码（Byte Pair Encoding，BPE）算法在LLM标记化中常用，最小、简洁的代码。|
| 488|[dice2o/BingGPT](https://github.com/dice2o/BingGPT)  |新的Bing基于人工智能的聊天桌面应用程序（Windows，macOS和Linux）|
@@ -530,34 +530,34 @@
| 498|[OthersideAI/self-operating-computer](https://github.com/OthersideAI/self-operating-computer) |一个使多模型能够操作计算机的框架。|
| 499|[RayTracing/raytracing.github.io](https://github.com/RayTracing/raytracing.github.io) |主网站（在线图书）|
| 500|[togethercomputer/OpenChatKit](https://github.com/togethercomputer/OpenChatKit)  |OpenChatKit 提供了一个强大的、开源的基础，用于创建各种应用的专用和通用聊天机器人|
-| 501|[anthropics/anthropic-cookbook](https://github.com/anthropics/anthropic-cookbook) |展示一些有趣有效的使用Claude的笔记本/配方集合。|
-| 502|[Visualize-ML/Book4_Power-of-Matrix](https://github.com/Visualize-ML/Book4_Power-of-Matrix) |书籍4《矩阵力量》|
-| 503|[Huanshere/VideoLingo](https://github.com/Huanshere/VideoLingo) |Netflix级字幕切割、翻译、对齐、甚至配音，一键全自动AI视频字幕团队|
-| 504|[marimo-team/marimo](https://github.com/marimo-team/marimo) |一个用于Python的响应式笔记本——运行可复现的实验，执行为脚本，部署为应用，并使用git进行版本控制。|
+| 501|[anthropics/anthropic-cookbook](https://github.com/anthropics/anthropic-cookbook) |展示一些有趣有效的使用Claude的笔记本/配方集合。|
+| 502|[Visualize-ML/Book4_Power-of-Matrix](https://github.com/Visualize-ML/Book4_Power-of-Matrix) |书籍4《矩阵力量》|
+| 503|[Huanshere/VideoLingo](https://github.com/Huanshere/VideoLingo) |Netflix级字幕切割、翻译、对齐、甚至配音，一键全自动AI视频字幕团队|
+| 504|[marimo-team/marimo](https://github.com/marimo-team/marimo) |一个用于Python的响应式笔记本——运行可复现的实验，执行为脚本，部署为应用，并使用git进行版本控制。|
| 505|[Stability-AI/StableStudio](https://github.com/Stability-AI/StableStudio)  |生成式AI的社区界面|
-| 506|[wasp-lang/open-saas](https://github.com/wasp-lang/open-saas) |一个免费、开源的React和Node.js SaaS应用程序启动器，具有超级功能。可用于生产环境，由社区驱动。|
+| 506|[wasp-lang/open-saas](https://github.com/wasp-lang/open-saas) |一个免费、开源的React和Node.js SaaS应用程序启动器，具有超级功能。可用于生产环境，由社区驱动。|
| 507|[voicepaw/so-vits-svc-fork](https://github.com/voicepaw/so-vits-svc-fork)  |基于 so-vits-svc4.0(V1)的一个分支，支持实时推理和图形化推理界面，且兼容其模型|
| 508|[adams549659584/go-proxy-bingai](https://github.com/adams549659584/go-proxy-bingai)  |用Vue3和Go构建的微软New Bing演示站点，拥有一致的UI体验，支持ChatGPT提示词，国内可用。|
| 509|[GoogleCloudPlatform/generative-ai](https://github.com/GoogleCloudPlatform/generative-ai) |样例代码和笔记本，用于在Google Cloud上进行生成式人工智能。|
| 510|[pymc-devs/pymc](https://github.com/pymc-devs/pymc) |Python中的贝叶斯建模和概率编程|
-| 511|[jxnl/instructor](https://github.com/jxnl/instructor) |LLMs的结构化输出|
+| 511|[jxnl/instructor](https://github.com/jxnl/instructor) |LLMs的结构化输出|
| 512|[keephq/keep](https://github.com/keephq/keep) |开源警报管理和AIOps平台|
-| 513|[UFund-Me/Qbot](https://github.com/UFund-Me/Qbot)  |Qbot是一个面向人工智能的量化投资平台，旨在实现潜力，赋能量化投资中的人工智能技术|
+| 513|[UFund-Me/Qbot](https://github.com/UFund-Me/Qbot)  |Qbot是一个面向人工智能的量化投资平台，旨在实现潜力，赋能量化投资中的人工智能技术|
| 514|[Const-me/Whisper](https://github.com/Const-me/Whisper) |OpenAI的Whisper自动语音识别（ASR）模型的高性能GPGPU推理|
| 515|[gorse-io/gorse](https://github.com/gorse-io/gorse) |Gorse开源推荐系统引擎|
| 516|[espnet/espnet](https://github.com/espnet/espnet) |端到端语音处理工具包|
-| 517|[lucidrains/denoising-diffusion-pytorch](https://github.com/lucidrains/denoising-diffusion-pytorch) |在Pytorch中实现去噪扩散概率模型。|
+| 517|[lucidrains/denoising-diffusion-pytorch](https://github.com/lucidrains/denoising-diffusion-pytorch) |在Pytorch中实现去噪扩散概率模型。|
| 518|[kedacore/keda](https://github.com/kedacore/keda) |KEDA 是基于 Kubernetes 的事件驱动自动缩放组件。它为运行在 Kubernetes 中的任何容器提供基于事件驱动的扩展能力。|
-| 519|[anthropics/courses](https://github.com/anthropics/courses) |Anthropic 的教育课程|
+| 519|[anthropics/courses](https://github.com/anthropics/courses) |Anthropic 的教育课程|
| 520|[brexhq/prompt-engineering](https://github.com/brexhq/prompt-engineering)  |使用OpenAI的GPT-4等大型语言模型的技巧和窍门|
-| 521|[nashsu/FreeAskInternet](https://github.com/nashsu/FreeAskInternet) |FreeAskInternet 是一个完全免费、私密且在本地运行的搜索聚合器和答案生成器，使用LLM技术，无需GPU。用户可以提问，系统将进行多引擎搜索并将搜索结果与 ChatGPT3.5 LLM 结合，基于搜索结果生成答案。|
-| 522|[idootop/mi-gpt](https://github.com/idootop/mi-gpt) |将小爱音箱接入 ChatGPT 和豆包，改造成你的专属语音助手。|
+| 521|[nashsu/FreeAskInternet](https://github.com/nashsu/FreeAskInternet) |FreeAskInternet 是一个完全免费、私密且在本地运行的搜索聚合器和答案生成器，使用LLM技术，无需GPU。用户可以提问，系统将进行多引擎搜索并将搜索结果与 ChatGPT3.5 LLM 结合，基于搜索结果生成答案。|
+| 522|[idootop/mi-gpt](https://github.com/idootop/mi-gpt) |将小爱音箱接入 ChatGPT 和豆包，改造成你的专属语音助手。|
| 523|[erincatto/box2d](https://github.com/erincatto/box2d) |Box2D是用于游戏的2D物理引擎|
| 524|[facebookresearch/ImageBind](https://github.com/facebookresearch/ImageBind)  |将它们全部绑定在一起的图像绑定一个嵌入空间|
| 525|[open-mmlab/mmsegmentation](https://github.com/open-mmlab/mmsegmentation) |OpenMMLab语义分割工具箱和基准。|
-| 526|[LouisShark/chatgpt_system_prompt](https://github.com/LouisShark/chatgpt_system_prompt) | 存储所有agent系统的prompt|
+| 526|[LouisShark/chatgpt_system_prompt](https://github.com/LouisShark/chatgpt_system_prompt) | 存储所有agent系统的prompt|
| 527|[ashawkey/stable-dreamfusion](https://github.com/ashawkey/stable-dreamfusion)  |一个使用Pytorch实现的文本到三维图像合成模型，利用稳定扩散的技术驱动。|
-| 528|[llmware-ai/llmware](https://github.com/llmware-ai/llmware) |提供企业级基于LLM的开发框架、工具和经过优化的模型。|
+| 528|[llmware-ai/llmware](https://github.com/llmware-ai/llmware) |提供企业级基于LLM的开发框架、工具和经过优化的模型。|
| 529|[meetecho/janus-gateway](https://github.com/meetecho/janus-gateway) |Janus WebRTC 服务器|
| 530|[OptimalScale/LMFlow](https://github.com/OptimalScale/LMFlow) |一个可扩展的工具包，用于对大型基础模型进行微调和推断。面向所有的大型模型。|
| 531|[google/magika](https://github.com/google/magika) |使用深度学习检测文件内容类型。|
@@ -566,12 +566,12 @@
| 534|[fishaudio/Bert-VITS2](https://github.com/fishaudio/Bert-VITS2) |VITS2骨干网络与多语言BERT|
| 535|[FlagOpen/FlagEmbedding](https://github.com/FlagOpen/FlagEmbedding) |密集检索和检索增强型LLM|
| 536|[goldmansachs/gs-quant](https://github.com/goldmansachs/gs-quant) |量化金融的Python工具包|
-| 537|[huggingface/lerobot](https://github.com/huggingface/lerobot) |🤗 LeRobot：PyTorch 中的实时机器学习技术，用于现实世界的机器人技术。|
+| 537|[huggingface/lerobot](https://github.com/huggingface/lerobot) |🤗 LeRobot：PyTorch 中的实时机器学习技术，用于现实世界的机器人技术。|
| 538|[jzhang38/TinyLlama](https://github.com/jzhang38/TinyLlama) |TinyLlama 项目是一个开放的尝试，旨在对 30 万亿标记进行 1.1B Llama 模型的预训练。|
| 539| [acheong08/EdgeGPT](https://github.com/acheong08/EdgeGPT)  | 逆向工程微软的必应Chat API |
| 540|[SJTU-IPADS/PowerInfer](https://github.com/SJTU-IPADS/PowerInfer) |消费级 GPU 在个人电脑上用于高速大型语言模型服务|
| 541| [anse-app/chatgpt-demo](https://github.com/anse-app/chatgpt-demo)  | 一个基于OpenAI API（gpt-3.5-turbo）的演示 |
-| 542|[open-mmlab/Amphion](https://github.com/open-mmlab/Amphion) |Amphion（/æmˈfaɪən/）是用于音频、音乐和语音生成的工具包。其目的是支持可重现的研究，并帮助初级研究人员和工程师在音频、音乐和语音生成研究与开发领域入门。|
+| 542|[open-mmlab/Amphion](https://github.com/open-mmlab/Amphion) |Amphion（/æmˈfaɪən/）是用于音频、音乐和语音生成的工具包。其目的是支持可重现的研究，并帮助初级研究人员和工程师在音频、音乐和语音生成研究与开发领域入门。|
| 543|[jasonppy/VoiceCraft](https://github.com/jasonppy/VoiceCraft) |野外零-shot语音编辑和文本转语音|
| 544|[o3de/o3de](https://github.com/o3de/o3de) |Open 3D Engine（O3DE）是一款采用Apache 2.0许可的跨平台3D引擎，使开发者和内容创作者能够构建AAA游戏、电影质量的3D世界和高保真度模拟，而无需支付任何费用或商业义务。|
| 545|[sebastianstarke/AI4Animation](https://github.com/sebastianstarke/AI4Animation) |使用Unity赋予角色生命的计算机大脑|
@@ -580,93 +580,93 @@
| 548|[baptisteArno/typebot.io](https://github.com/baptisteArno/typebot.io) |💬 Typebot是一个强大的聊天机器人构建工具，您可以自行托管。|
| 549|[01-ai/Yi](https://github.com/01-ai/Yi) |01-ai开发人员从头开始训练的一系列大型语言模型|
| 550|[kroma-network/tachyon](https://github.com/kroma-network/tachyon) |由GPU加速的模块化零知识（ZK）后端|
-| 551|[langchain-ai/langgraph](https://github.com/langchain-ai/langgraph) |当然，请提供您需要翻译的内容。|
-| 552|[getomni-ai/zerox](https://github.com/getomni-ai/zerox) |零-shot PDF OCR 与 GPT-4o-mini|
+| 551|[langchain-ai/langgraph](https://github.com/langchain-ai/langgraph) |当然，请提供您需要翻译的内容。|
+| 552|[getomni-ai/zerox](https://github.com/getomni-ai/zerox) |零-shot PDF OCR 与 GPT-4o-mini|
| 553|[Plachtaa/VALL-E-X](https://github.com/Plachtaa/VALL-E-X) |一个开源的实现了微软VALL-E X零射击TTS模型的项目。演示可在https://plachtaa.github.io上查看。|
| 554|[xiangsx/gpt4free-ts](https://github.com/xiangsx/gpt4free-ts) |提供免费的OpenAI GPT-4 API！这是xtekky/gpt4free的TypeScript版本的复制项目。|
| 555|[ai-collection/ai-collection](https://github.com/ai-collection/ai-collection)  |这是一份收集了许多神经网络生成模型的列表。这些模型可以用来生成各种类型的内容，如图像、音频、文本等。该列表包括许多流行的生成模型，如GAN、VAE、AE等。|
| 556|[delta-io/delta](https://github.com/delta-io/delta) |一个开源存储框架，可以与计算引擎（包括Spark、PrestoDB、Flink、Trino和Hive）以及API一起构建Lakehouse架构。|
| 557|[deep-floyd/IF](https://github.com/deep-floyd/IF)  |种新颖的最先进的开源文本到图像模型，具有高度逼真和语言理解能力|
| 558|[zmh-program/chatnio](https://github.com/zmh-program/chatnio) |🚀下一代AI一站式国际化解决方案。支持OpenAI、Midjourney、Claude、讯飞星火、Stable Diffusion、DALL·E、ChatGLM、通义千问、腾讯混元、360智脑、百川AI、火山方舟、新必应、Gemini、Moonshot等模型。支持对话分享、自定义预设、云端同步、模型市场，支持弹性计费和订阅计划模式，支持图片解析、联网搜索、模型缓存，丰富美观的后台管理与仪表盘数据统计。|
-| 559|[THUDM/CodeGeeX2](https://github.com/THUDM/CodeGeeX2) |CodeGeeX2：一款更强大的多语言代码生成模型。|
-| 560|[abhishekkrthakur/approachingalmost](https://github.com/abhishekkrthakur/approachingalmost) |接近（几乎）任何机器学习问题|
+| 559|[abhishekkrthakur/approachingalmost](https://github.com/abhishekkrthakur/approachingalmost) |接近（几乎）任何机器学习问题|
+| 560|[THUDM/CodeGeeX2](https://github.com/THUDM/CodeGeeX2) |CodeGeeX2：一款更强大的多语言代码生成模型。|
| 561|[CASIA-IVA-Lab/FastSAM](https://github.com/CASIA-IVA-Lab/FastSAM) |快速分割任何东西|
| 562|[thuml/Time-Series-Library](https://github.com/thuml/Time-Series-Library) |一个用于高级深度时间序列模型的库。|
-| 563|[langfuse/langfuse](https://github.com/langfuse/langfuse) |🪢 开源LLM工程平台。可观察性、指标、评估、提示管理、测试、提示沙盒、数据集、LLM评估 -- 🍊YC W23 🤖 通过Typescript、Python/装饰器、OpenAI、Langchain、LlamaIndex、Litellm、Instructor、Mistral、Perplexity、Claude、Gemini、Vertex整合。|
+| 563|[langfuse/langfuse](https://github.com/langfuse/langfuse) |🪢 开源LLM工程平台。可观察性、指标、评估、提示管理、测试、提示沙盒、数据集、LLM评估 -- 🍊YC W23 🤖 通过Typescript、Python/装饰器、OpenAI、Langchain、LlamaIndex、Litellm、Instructor、Mistral、Perplexity、Claude、Gemini、Vertex整合。|
| 564|[alibaba-damo-academy/FunASR](https://github.com/alibaba-damo-academy/FunASR) |一个基础的端到端语音识别工具包和开源 SOTA 预训练模型。|
| 565|[netease-youdao/EmotiVoice](https://github.com/netease-youdao/EmotiVoice) |情感之声 😊：多音色和提示控制的TTS引擎|
-| 566|[openvinotoolkit/openvino](https://github.com/openvinotoolkit/openvino) |OpenVINO™ 是一个用于优化和部署 AI 推断的开源工具包。|
+| 566|[openvinotoolkit/openvino](https://github.com/openvinotoolkit/openvino) |OpenVINO™ 是一个用于优化和部署 AI 推断的开源工具包。|
| 567|[Acly/krita-ai-diffusion](https://github.com/Acly/krita-ai-diffusion) |在Krita中生成图像的简化界面。可选择的文本提示进行修复和超出画布的操作，无需调整|
-| 568|[GreyDGL/PentestGPT](https://github.com/GreyDGL/PentestGPT)  |一个由GPT驱动的渗透测试工具。|
+| 568|[GreyDGL/PentestGPT](https://github.com/GreyDGL/PentestGPT)  |一个由GPT驱动的渗透测试工具。|
| 569|[ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide](https://github.com/ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide) |面向本科生或任何希望在人工智能领域深入探索并建立坚实基础的人士的详细而量身定制的指南。|
| 570|[sweepai/sweep](https://github.com/sweepai/sweep) |扫地是一名人工智能初级开发者。|
| 571|[firmai/financial-machine-learning](https://github.com/firmai/financial-machine-learning) |一个精选的实用金融机器学习工具和应用程序列表。|
| 572|[lllyasviel/Omost](https://github.com/lllyasviel/Omost) |你的形象差不多完成了！|
| 573|[reorproject/reor](https://github.com/reorproject/reor) |在本地运行模型的 AI 笔记应用程序。|
| 574|[openlm-research/open_llama](https://github.com/openlm-research/open_llama) |OpenLLaMA是一个基于许可证开放源代码的重制版，它是Meta AI的LLaMA 7B在RedPajama数据集上训练的结果。|
-| 575|[enso-org/enso](https://github.com/enso-org/enso) |视觉和文本的混合式功能编程。|
+| 575|[enso-org/enso](https://github.com/enso-org/enso) |视觉和文本的混合式功能编程。|
| 576|[dair-ai/ML-Papers-Explained](https://github.com/dair-ai/ML-Papers-Explained) |机器学习中关键概念的解释|
-| 577|[EleutherAI/lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness) |自回归语言模型的少样本评估框架。|
+| 577|[EleutherAI/lm-evaluation-harness](https://github.com/EleutherAI/lm-evaluation-harness) |自回归语言模型的少样本评估框架。|
| 578|[jina-ai/reader](https://github.com/jina-ai/reader) |将任何URL转换为LLM友好输入，只需添加简单前缀https://r.jina.ai/。|
| 579|[bigcode-project/starcoder](https://github.com/bigcode-project/starcoder)  |StarCoder的大本营：可进行微调和推理|
| 580|[zilliztech/GPTCache](https://github.com/zilliztech/GPTCache)  |GPTCache是一个库，用于创建语义缓存以存储LLM查询的响应。|
-| 581|[adam-maj/tiny-gpu](https://github.com/adam-maj/tiny-gpu) |一个简单的 Verilog GPU 设计,从底层学习 GPU 的工作原理。|
-| 582|[OpenBMB/MiniCPM](https://github.com/OpenBMB/MiniCPM) |MiniCPM-2B：端到端的LLM性能优于Llama2-13B。|
-| 583|[e2b-dev/e2b](https://github.com/e2b-dev/e2b)  |Vercel 用于 AI 代理。我们帮助开发人员构建,部署和监控 AI 代理。专注于为您构建软件的专业 AI 代理——您的个人软件开发人员|
-| 584|[lllyasviel/IC-Light](https://github.com/lllyasviel/IC-Light) |更多灯光！|
-| 585|[bunkerity/bunkerweb](https://github.com/bunkerity/bunkerweb) |"🛡️ 让您的网络服务默认安全！"|
+| 581|[adam-maj/tiny-gpu](https://github.com/adam-maj/tiny-gpu) |一个简单的 Verilog GPU 设计,从底层学习 GPU 的工作原理。|
+| 582|[OpenBMB/MiniCPM](https://github.com/OpenBMB/MiniCPM) |MiniCPM-2B：端到端的LLM性能优于Llama2-13B。|
+| 583|[e2b-dev/e2b](https://github.com/e2b-dev/e2b)  |Vercel 用于 AI 代理。我们帮助开发人员构建,部署和监控 AI 代理。专注于为您构建软件的专业 AI 代理——您的个人软件开发人员|
+| 584|[lllyasviel/IC-Light](https://github.com/lllyasviel/IC-Light) |更多灯光！|
+| 585|[bunkerity/bunkerweb](https://github.com/bunkerity/bunkerweb) |"🛡️ 让您的网络服务默认安全！"|
| 586|[LiheYoung/Depth-Anything](https://github.com/LiheYoung/Depth-Anything) |深度万物：释放大规模无标签数据的力量|
| 587|[ymcui/Chinese-LLaMA-Alpaca-2](https://github.com/ymcui/Chinese-LLaMA-Alpaca-2) |中文 LLaMA-2 & Alpaca-2 大模型二期项目|
| 588|[IDEA-Research/GroundingDINO](https://github.com/IDEA-Research/GroundingDINO) |论文《Grounding DINO: 将DINO与基于Grounded的预训练相结合，用于开放集目标检测》的官方实现。|
| 589|[jrouwe/JoltPhysics](https://github.com/jrouwe/JoltPhysics) |一款多核友好的刚体物理和碰撞检测库。用C语言编写。适用于游戏和虚拟现实应用。被《Horizon Forbidden West》使用。|
| 590|[git-ecosystem/git-credential-manager](https://github.com/git-ecosystem/git-credential-manager) |跨平台的安全 Git 凭据存储，并支持对 GitHub、Azure Repos 和其他流行的 Git 托管服务进行身份验证。|
| 591|[PWhiddy/PokemonRedExperiments](https://github.com/PWhiddy/PokemonRedExperiments) |使用强化学习玩《宝可梦红版》。|
-| 592|[sgl-project/sglang](https://github.com/sgl-project/sglang) |SGLang是一种为大型语言模型（LLMs）设计的结构化生成语言。它可以让您与LLMs的交互更快速、更可控。|
-| 593|[WooooDyy/LLM-Agent-Paper-List](https://github.com/WooooDyy/LLM-Agent-Paper-List) |《大型语言模型基础代理的崛起与潜力：一项调查》由Zhiheng Xi等人撰写的86页论文的论文目录。|
+| 592|[sgl-project/sglang](https://github.com/sgl-project/sglang) |SGLang是一种为大型语言模型（LLMs）设计的结构化生成语言。它可以让您与LLMs的交互更快速、更可控。|
+| 593|[WooooDyy/LLM-Agent-Paper-List](https://github.com/WooooDyy/LLM-Agent-Paper-List) |《大型语言模型基础代理的崛起与潜力：一项调查》由Zhiheng Xi等人撰写的86页论文的论文目录。|
| 594|[PKU-YuanGroup/ChatLaw](https://github.com/PKU-YuanGroup/ChatLaw) |中文法律大模型|
| 595|[bhaskatripathi/pdfGPT](https://github.com/bhaskatripathi/pdfGPT)  |PDF GPT是一种使用GPT能力与PDF文件内容交互的工具，它是唯一的开源解决方案，可将您的PDF文件转换为聊天机器人。|
| 596|[open-mmlab/mmagic](https://github.com/open-mmlab/mmagic)  |OpenMMLab是一种多模态高级、生成和智能创作工具箱。|
| 597|[jaywalnut310/vits](https://github.com/jaywalnut310/vits)  |VITS：具有对抗学习的条件变分自编码器用于端到端的文本到语音翻译。|
-| 598|[niedev/RTranslator](https://github.com/niedev/RTranslator) |RTranslator 是世界上第一个开源实时翻译应用程序。|
+| 598|[niedev/RTranslator](https://github.com/niedev/RTranslator) |RTranslator 是世界上第一个开源实时翻译应用程序。|
| 599|[apple/corenet](https://github.com/apple/corenet) |CoreNet：用于训练深度神经网络的库|
| 600|[nadermx/backgroundremover](https://github.com/nadermx/backgroundremover)  |Background Remover可以使用简单的命令行界面，利用人工智能从图像和视频中移除背景。该工具是免费且开源的。|
-| 601|[AbdullahAlfaraj/Auto-Photoshop-StableDiffusion-Plugin](https://github.com/AbdullahAlfaraj/Auto-Photoshop-StableDiffusion-Plugin)  |一个用户友好的插件，利用Automatic1111-sd-webui作为后端，在Photoshop内轻松生成稳定的扩散图像。|
+| 601|[AbdullahAlfaraj/Auto-Photoshop-StableDiffusion-Plugin](https://github.com/AbdullahAlfaraj/Auto-Photoshop-StableDiffusion-Plugin)  |一个用户友好的插件，利用Automatic1111-sd-webui作为后端，在Photoshop内轻松生成稳定的扩散图像。|
| 602|[lencx/Noi](https://github.com/lencx/Noi) |🦄 人工智能 工具 插件 社区|
| 603|[intel-analytics/ipex-llm](https://github.com/intel-analytics/ipex-llm) |加速在英特尔 CPU 和 GPU（例如，带有集成 GPU 的本地 PC、Arc、Flex 和 Max 等离散 GPU）上的本地 LLM 推理和微调（LLaMA、Mistral、ChatGLM、Qwen、Baichuan、Mixtral、Gemma 等）。一个 PyTorch LLM 库，可以无缝集成 llama.cpp、HuggingFace、LangChain、LlamaIndex、DeepSpeed、vLLM、FastChat、ModelScope 等。|
-| 604|[udlbook/udlbook](https://github.com/udlbook/udlbook) |理解深度学习 - Simon J.D. Prince|
+| 604|[udlbook/udlbook](https://github.com/udlbook/udlbook) |理解深度学习 - Simon J.D. Prince|
| 605|[OpenTalker/video-retalking](https://github.com/OpenTalker/video-retalking) |[SIGGRAPH Asia 2022] VideoReTalking：野外口型同步的音频驱动口型同步技术|
-| 606|[getmaxun/maxun](https://github.com/getmaxun/maxun) |🔥 开源无代码网页数据提取平台。使用无代码机器人，将网站转换为 API 和电子表格，仅需几分钟！【测试版】|
+| 606|[getmaxun/maxun](https://github.com/getmaxun/maxun) |🔥 开源无代码网页数据提取平台。使用无代码机器人，将网站转换为 API 和电子表格，仅需几分钟！【测试版】|
| 607|[geekyutao/Inpaint-Anything](https://github.com/geekyutao/Inpaint-Anything)  |使用“Segment Anything”和修复模型，可以修复任何缺失的区域。|
| 608|[mit-han-lab/streaming-llm](https://github.com/mit-han-lab/streaming-llm) ||
-| 609|[Portkey-AI/gateway](https://github.com/Portkey-AI/gateway) |一个飞快的人工智能网关。通过一个快速友好的API连接到100个LLM。|
+| 609|[Portkey-AI/gateway](https://github.com/Portkey-AI/gateway) |一个飞快的人工智能网关。通过一个快速友好的API连接到100个LLM。|
| 610|[rany2/edge-tts](https://github.com/rany2/edge-tts) |使用 Python 从 Microsoft Edge 的在线文本到语音服务，无需 Microsoft Edge 或 Windows 或 API 密钥。|
-| 611|[modelscope/DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio) |享受扩散模型的魔力！|
-| 612|[Future-House/paper-qa](https://github.com/Future-House/paper-qa) |科学文件引用的高准确性答案生成器|
+| 611|[modelscope/DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio) |享受扩散模型的魔力！|
+| 612|[Future-House/paper-qa](https://github.com/Future-House/paper-qa) |科学文件引用的高准确性答案生成器|
| 613|[react-native-webview/react-native-webview](https://github.com/react-native-webview/react-native-webview) |React Native 跨平台 WebView|
-| 614|[facebookresearch/DiT](https://github.com/facebookresearch/DiT) |“可扩展的Transformer扩散模型”的官方PyTorch实现。|
+| 614|[facebookresearch/DiT](https://github.com/facebookresearch/DiT) |“可扩展的Transformer扩散模型”的官方PyTorch实现。|
| 615|[OpenGVLab/InternVL](https://github.com/OpenGVLab/InternVL) |【CVPR 2024 口头报告】InternVL家族：向GPT-4V提供了一种开创性的可商用开源替代方案。|
| 616|[spdustin/ChatGPT-AutoExpert](https://github.com/spdustin/ChatGPT-AutoExpert) |🚀🧠💬 ChatGPT的超级定制指令（非编码）和ChatGPT高级数据分析（编码）已准备就绪。|
| 617|[InternLM/InternLM](https://github.com/InternLM/InternLM) |InternLM已经开源了一个70亿参数的基础模型，这是一个专为实际场景和培训系统量身定制的聊天模型。|
| 618|[jeremylong/DependencyCheck](https://github.com/jeremylong/DependencyCheck) |OWASP依赖检查是一种软件组成分析实用程序，可检测应用程序依赖项中公开披露的漏洞。|
| 619|[openstatusHQ/openstatus](https://github.com/openstatusHQ/openstatus) |开源的合成监控平台|
| 620|[gunnarmorling/1brc](https://github.com/gunnarmorling/1brc) |1️⃣🐝🏎️ 十亿行挑战--通过Java快速聚合文本文件中的10亿行。|
-| 621|[mylxsw/aidea](https://github.com/mylxsw/aidea) |AIdea是一款支持GPT以及国产大语言模型通义千问、文心一言等，支持Stable Diffusion文生图、图生图、SDXL1.0、超分辨率、图片上色的全能型应用程序。|
-| 622|[miurla/morphic](https://github.com/miurla/morphic) |一个由人工智能驱动的答案引擎，具有生成式用户界面。|
+| 621|[mylxsw/aidea](https://github.com/mylxsw/aidea) |AIdea是一款支持GPT以及国产大语言模型通义千问、文心一言等，支持Stable Diffusion文生图、图生图、SDXL1.0、超分辨率、图片上色的全能型应用程序。|
+| 622|[miurla/morphic](https://github.com/miurla/morphic) |一个由人工智能驱动的答案引擎，具有生成式用户界面。|
| 623|[kuafuai/DevOpsGPT](https://github.com/kuafuai/DevOpsGPT) |多智能体系统用于基于人工智能的软件开发。将自然语言需求转化为可工作的软件。支持任何开发语言，并扩展现有的基础代码。|
| 624|[gaomingqi/Track-Anything](https://github.com/gaomingqi/Track-Anything)  |一个灵活、交互式的视频对象跟踪和分割工具，基于Segment Anything、XMem和E2FGVI。|
| 625|[FoundationVision/VAR](https://github.com/FoundationVision/VAR) |[GPT胜过扩散🔥] [视觉生成中的规模定律📈] “视觉自回归建模：通过下一尺度预测实现可扩展图像生成”官方实现。|
-| 626|[weaviate/Verba](https://github.com/weaviate/Verba) |使用Weaviate技术驱动的检索增强生成（RAG）聊天机器人|
+| 626|[weaviate/Verba](https://github.com/weaviate/Verba) |使用Weaviate技术驱动的检索增强生成（RAG）聊天机器人|
| 627|[langchain-ai/opengpts](https://github.com/langchain-ai/opengpts) |这是一个开源努力，旨在创建与OpenAI的GPT和助手API类似的体验|
-| 628|[meshery/meshery](https://github.com/meshery/meshery) |Meshery，云原生管理器|
-| 629|[Azure-Samples/azure-search-openai-demo](https://github.com/Azure-Samples/azure-search-openai-demo)  |一个使用Azure Cognitive Search进行检索和Azure OpenAI大型语言模型来支持ChatGPT风格和Q&A体验的Retrieval-Augmented Generation模式的示例应用程序，在Azure上运行。|
-| 630|[bytedance/monolith](https://github.com/bytedance/monolith) ||
-| 631|[qunash/chatgpt-advanced](https://github.com/qunash/chatgpt-advanced)  |一款浏览器扩展程序，通过提供网络搜索结果来增强您的ChatGPT提示|
-| 632|[ml-explore/mlx-examples](https://github.com/ml-explore/mlx-examples) |MLX框架中的示例|
+| 628|[meshery/meshery](https://github.com/meshery/meshery) |Meshery，云原生管理器|
+| 629|[bytedance/monolith](https://github.com/bytedance/monolith) ||
+| 630|[Azure-Samples/azure-search-openai-demo](https://github.com/Azure-Samples/azure-search-openai-demo)  |一个使用Azure Cognitive Search进行检索和Azure OpenAI大型语言模型来支持ChatGPT风格和Q&A体验的Retrieval-Augmented Generation模式的示例应用程序，在Azure上运行。|
+| 631|[qunash/chatgpt-advanced](https://github.com/qunash/chatgpt-advanced)  |一款浏览器扩展程序，通过提供网络搜索结果来增强您的ChatGPT提示|
+| 632|[ml-explore/mlx-examples](https://github.com/ml-explore/mlx-examples) |MLX框架中的示例|
| 633|[jianchang512/ChatTTS-ui](https://github.com/jianchang512/ChatTTS-ui) |一个简单的本地网页界面，直接使用ChatTTS将文字合成为语音，同时支持对外提供API接口。|
| 634|[Licoy/ChatGPT-Midjourney](https://github.com/Licoy/ChatGPT-Midjourney) |🎨 一键拥有你自己的 ChatGPT Midjourney 网页服务|
| 635|[threestudio-project/threestudio](https://github.com/threestudio-project/threestudio) |三维内容生成的统一框架。|
| 636|[linyiLYi/street-fighter-ai](https://github.com/linyiLYi/street-fighter-ai)  |这是一个街头霸王II冠军版的AI代理。|
-| 637| [yihong0618/xiaogpt](https://github.com/yihong0618/xiaogpt)  | 让小米智能音箱接入ChatGPT |
+| 637| [yihong0618/xiaogpt](https://github.com/yihong0618/xiaogpt)  | 让小米智能音箱接入ChatGPT |
| 638|[run-llama/rags](https://github.com/run-llama/rags) |在您的数据上构建 ChatGPT，一切都使用自然语言|
| 639|[digitalinnovationone/dio-lab-open-source](https://github.com/digitalinnovationone/dio-lab-open-source) |数字创新一号公司"在GitHub上参与开源项目"实验室的代码仓库。|
| 640| [civitai/civitai](https://github.com/civitai/civitai)  | 搭建一个人们可分享自己的stable diffusion模型的平台 |
@@ -696,14 +696,14 @@
| 664|[clovaai/donut](https://github.com/clovaai/donut)  |OCR-free Document Understanding Transformer（Donut）和Synthetic Document Generator（SynthDoG）的官方实现，ECCV 2022。|
| 665|[SevaSk/ecoute](https://github.com/SevaSk/ecoute)  |Ecoute是一种实时转录工具，为用户的麦克风输入（您）和扬声器输出（扬声器）提供实时转录，并将其显示在文本框中。它还使用OpenAI的GPT-3.5根据对话的实时转录生成建议的回答，供用户说出来。|
| 666|[vespa-engine/vespa](https://github.com/vespa-engine/vespa) |开放式大数据服务引擎。https://vespa.ai|
-| 667|[vladmandic/automatic](https://github.com/vladmandic/automatic) |SD.Next：稳定扩散和其他基于扩散的生成图像模型的高级实现。|
-| 668|[yamadashy/repomix](https://github.com/yamadashy/repomix) |📦 Repomix（原名Repopack）是一个强大的工具，可以将整个存储库打包成一个单一的、适合人工智能的文件。当您需要将代码库提供给大型语言模型（LLMs）或其他人工智能工具，如Claude、ChatGPT和Gemini时，它非常完美。|
-| 669|[pengxiao-song/LaWGPT](https://github.com/pengxiao-song/LaWGPT)  | 基于中文法律知识的大语言模型|
+| 667|[yamadashy/repomix](https://github.com/yamadashy/repomix) |📦 Repomix（原名Repopack）是一个强大的工具，可以将整个存储库打包成一个单一的、适合人工智能的文件。当您需要将代码库提供给大型语言模型（LLMs）或其他人工智能工具，如Claude、ChatGPT和Gemini时，它非常完美。|
+| 668|[vladmandic/automatic](https://github.com/vladmandic/automatic) |SD.Next：稳定扩散和其他基于扩散的生成图像模型的高级实现。|
+| 669|[pengxiao-song/LaWGPT](https://github.com/pengxiao-song/LaWGPT)  | 基于中文法律知识的大语言模型|
| 670|[xorbitsai/inference](https://github.com/xorbitsai/inference) |使用 Xinference，通过更改一行代码，将您的应用程序中的 OpenAI GPT 替换为另一个 LLM。Xinference 为您提供了使用任何您需要的 LLM 的自由。使用 Xinference，您可以运行任何开源语言模型、语音识别模型和多模型，无论是在云端、本地还是甚至在您的笔记本电脑上。|
| 671|[open-metadata/OpenMetadata](https://github.com/open-metadata/OpenMetadata) |OpenMetadata是一个统一的平台，用于发现、可观察性和治理，由中央元数据存储库、深度血统和无缝团队协作驱动。|
| 672|[sczhou/ProPainter](https://github.com/sczhou/ProPainter) |[ICCV 2023] ProPainter：改进传播和Transformer用于视频修复|
-| 673|[OpenGVLab/LLaMA-Adapter](https://github.com/OpenGVLab/LLaMA-Adapter)  |将LLaMA微调以在1小时内遵循说明，并使用1.2M参数。|
-| 674|[ethereum-optimism/optimism](https://github.com/ethereum-optimism/optimism) |乐观是以太坊，经过扩展。|
+| 673|[ethereum-optimism/optimism](https://github.com/ethereum-optimism/optimism) |乐观是以太坊，经过扩展。|
+| 674|[OpenGVLab/LLaMA-Adapter](https://github.com/OpenGVLab/LLaMA-Adapter)  |将LLaMA微调以在1小时内遵循说明，并使用1.2M参数。|
| 675|[lavague-ai/LaVague](https://github.com/lavague-ai/LaVague) |用大型行动模型框架自动化自动化。|
| 676|[a16z-infra/companion-app](https://github.com/a16z-infra/companion-app) |AI伴侣带有记忆：一个轻量级的堆栈，用于创建和托管您自己的AI伴侣。|
| 677|[MineDojo/Voyager](https://github.com/MineDojo/Voyager)  |一个开放式的具身化代理人和大型语言模型|
@@ -711,70 +711,70 @@
| 679|[fr0gger/Awesome-GPT-Agents](https://github.com/fr0gger/Awesome-GPT-Agents) |一个由专家策划的用于网络安全的GPT代理列表。|
| 680|[google/mesop](https://github.com/google/mesop) |Certainly! Please provide the content that you'd like to have translated into Chinese.|
| 681|[onuratakan/gpt-computer-assistant](https://github.com/onuratakan/gpt-computer-assistant) |gpt-4o适用于Windows、macOS和Ubuntu。|
-| 682|[firebase/firebase-ios-sdk](https://github.com/firebase/firebase-ios-sdk) |苹果应用开发的 Firebase SDK|
-| 683|[nilsherzig/LLocalSearch](https://github.com/nilsherzig/LLocalSearch) |LLocalSearch是一个完全在本地运行的搜索聚合器，使用LLM代理。用户可以提问，系统将使用一系列LLM来找到答案。用户可以看到代理的进展和最终答案。无需OpenAI或Google API密钥。|
+| 682|[firebase/firebase-ios-sdk](https://github.com/firebase/firebase-ios-sdk) |苹果应用开发的 Firebase SDK|
+| 683|[nilsherzig/LLocalSearch](https://github.com/nilsherzig/LLocalSearch) |LLocalSearch是一个完全在本地运行的搜索聚合器，使用LLM代理。用户可以提问，系统将使用一系列LLM来找到答案。用户可以看到代理的进展和最终答案。无需OpenAI或Google API密钥。|
| 684|[pytorch-labs/gpt-fast](https://github.com/pytorch-labs/gpt-fast) |简洁高效的PyTorch原生Transformer文本生成，使用不到1000行Python代码。|
-| 685|[modelscope/agentscope](https://github.com/modelscope/agentscope) |以更简单的方式开始构建由LLM驱动的多代理应用程序。|
+| 685|[modelscope/agentscope](https://github.com/modelscope/agentscope) |以更简单的方式开始构建由LLM驱动的多代理应用程序。|
| 686|[roboflow/notebooks](https://github.com/roboflow/notebooks) |使用SOTA计算机视觉模型和技术的示例和教程。从传统的ResNet、YOLO和目标检测变换器（如DETR）学习一切，到最新的模型如Grounding DINO和SAM。|
| 687|[ramonvc/freegpt-webui](https://github.com/ramonvc/freegpt-webui) |GPT 3.5/4带有聊天Web界面。无需API密钥。|
-| 688|[HumanAIGC/OutfitAnyone](https://github.com/HumanAIGC/OutfitAnyone) |适合任何人：任何服装、任何人的超高质量虚拟试穿|
+| 688|[HumanAIGC/OutfitAnyone](https://github.com/HumanAIGC/OutfitAnyone) |适合任何人：任何服装、任何人的超高质量虚拟试穿|
| 689|[Dooy/chatgpt-web-midjourney-proxy](https://github.com/Dooy/chatgpt-web-midjourney-proxy) |ChatGPT 网站，Midjourney，GPTs，TTS，Whisper 一套UI 全部完成。|
| 690| [nsarrazin/serge](https://github.com/nsarrazin/serge)  | 通过llama.cpp与Alpaca聊天的Web界面。完全使用Docker容器化，具有易于使用的API|
| 691|[baichuan-inc/baichuan-7B](https://github.com/baichuan-inc/baichuan-7B) |百川公司开发的一款规模庞大的70亿预训练语言模型。|
-| 692|[PawanOsman/ChatGPT](https://github.com/PawanOsman/ChatGPT) |OpenAI API免费反向代理|
-| 693|[ollama/ollama-python](https://github.com/ollama/ollama-python) |Ollama Python库|
+| 692|[PawanOsman/ChatGPT](https://github.com/PawanOsman/ChatGPT) |OpenAI API免费反向代理|
+| 693|[ollama/ollama-python](https://github.com/ollama/ollama-python) |Ollama Python库|
| 694|[Azure/azure-sdk-for-net](https://github.com/Azure/azure-sdk-for-net) |该存储库用于.NET的Azure SDK的积极开发。对于SDK的用户，我们建议访问我们的公共开发者文档https://learn.microsoft.com/dotnet/azure/或我们的版本化开发者文档https://azure.github.io/azure-sdk-for-net。|
-| 695|[google-deepmind/graphcast](https://github.com/google-deepmind/graphcast) |当你有一个选择时，选择让你成为更好的人。|
+| 695|[google-deepmind/graphcast](https://github.com/google-deepmind/graphcast) |当你有一个选择时，选择让你成为更好的人。|
| 696| [yetone/bob-plugin-openai-translator](https://github.com/yetone/bob-plugin-openai-translator)  | 基于 ChatGPT API 的文本翻译、文本润色、语法纠错 Bob 插件 |
-| 697|[srbhr/Resume-Matcher](https://github.com/srbhr/Resume-Matcher) |开源免费的ATS工具，用于比较简历与职位描述，并创建一个评分以对它们进行排名。|
+| 697|[srbhr/Resume-Matcher](https://github.com/srbhr/Resume-Matcher) |开源免费的ATS工具，用于比较简历与职位描述，并创建一个评分以对它们进行排名。|
| 698|[apache/hudi](https://github.com/apache/hudi) |大数据上的Upserts、Deletes和增量处理。|
| 699|[ai-boost/awesome-prompts](https://github.com/ai-boost/awesome-prompts) |在 GPTs 商店中，来自顶级 GPT 的 ChatGPT 提示精选列表。提示工程，提示攻击和提示保护。高级提示工程论文。|
| 700|[648540858/wvp-GB28181-pro](https://github.com/648540858/wvp-GB28181-pro) |WEB VIDEO PLATFORM是一个基于GB28181-2016标准实现的网络视频平台，支持NAT穿透，支持海康、大华、宇视等品牌的IPC、NVR、DVR接入。支持国标级联，支持rtsp/rtmp等视频流转发到国标平台，支持rtsp/rtmp等推流转发到国标平台。|
| 701|[microsoft/promptbase](https://github.com/microsoft/promptbase) |万事促成工程。|
| 702|[SkalskiP/courses](https://github.com/SkalskiP/courses)  |这个存储库是一个精心策划的链接收集，其中包含了关于人工智能（AI）的各种课程和资源。|
-| 703|[ToonCrafter/ToonCrafter](https://github.com/ToonCrafter/ToonCrafter) |生成卡通插值的研究论文|
+| 703|[ToonCrafter/ToonCrafter](https://github.com/ToonCrafter/ToonCrafter) |生成卡通插值的研究论文|
| 704|[josStorer/RWKV-Runner](https://github.com/josStorer/RWKV-Runner) |一个RWKV管理和启动工具，完全自动化，只有8MB。并且提供与OpenAI API兼容的接口。RWKV是一个完全开源且可用于商业用途的大型语言模型。|
| 705|[homanp/superagent](https://github.com/homanp/superagent) |🥷 Superagent - 构建、部署和管理基于LLM的代理程序。|
-| 706|[microsoft/TaskWeaver](https://github.com/microsoft/TaskWeaver) |一个以代码为先导的代理框架，能够无缝地规划和执行数据分析任务。|
+| 706|[microsoft/TaskWeaver](https://github.com/microsoft/TaskWeaver) |一个以代码为先导的代理框架，能够无缝地规划和执行数据分析任务。|
| 707|[fullstackhero/dotnet-starter-kit](https://github.com/fullstackhero/dotnet-starter-kit) |生产级云就绪.NET 8入门套件（Web API Blazor客户端），支持多租户，并具有干净/模块化架构，可节省大约200开发小时！一切就绪。|
| 708|[PrefectHQ/marvin](https://github.com/PrefectHQ/marvin)  |用于便于构建AI驱动的软件库，引入了一个名为AI函数的新概念，与传统函数不同，它们不依赖于源代码，而是使用LLM作为运行时，通过AI按需生成输出|
| 709|[aiwaves-cn/agents](https://github.com/aiwaves-cn/agents) |一个用于自主语言代理的开源框架。|
-| 710|[google/gemma_pytorch](https://github.com/google/gemma_pytorch) |Google的 Gemma 模型的官方 PyTorch 实现|
-| 711|[mnotgod96/AppAgent](https://github.com/mnotgod96/AppAgent) |AppAgent：多模态代理作为智能手机用户，一种基于LLM的多模态代理框架，旨在操作智能手机应用。|
+| 710|[google/gemma_pytorch](https://github.com/google/gemma_pytorch) |Google的 Gemma 模型的官方 PyTorch 实现|
+| 711|[mnotgod96/AppAgent](https://github.com/mnotgod96/AppAgent) |AppAgent：多模态代理作为智能手机用户，一种基于LLM的多模态代理框架，旨在操作智能手机应用。|
| 712|[dsdanielpark/Bard-API](https://github.com/dsdanielpark/Bard-API)  |通过API返回谷歌Bard的响应的Python包|
-| 713|[frdel/agent-zero](https://github.com/frdel/agent-zero) |零号代理人人工智能框架|
+| 713|[frdel/agent-zero](https://github.com/frdel/agent-zero) |零号代理人人工智能框架|
| 714|[tmc/langchaingo](https://github.com/tmc/langchaingo) |LangChain for Go，用Go编写基于LLM的程序的最简单方式|
| 715|[imoneoi/openchat](https://github.com/imoneoi/openchat) |OpenChat：利用不完美数据推进开源语言模型|
| 716|[mosaicml/composer](https://github.com/mosaicml/composer) |训练神经网络速度提升最多7倍。|
| 717|[openchatai/OpenChat](https://github.com/openchatai/OpenChat)  |使用OpenChat运行和创建自定义的ChatGPT类似的机器人，在任何地方嵌入和共享这些机器人，这是一个开源的聊天机器人控制台。|
| 718|[biobootloader/wolverine](https://github.com/biobootloader/wolverine)  |通过gpt-4自动修复python脚本，赋予其再生能力|
-| 719|[microsoft/TinyTroupe](https://github.com/microsoft/TinyTroupe) |基于LLM技术的多智能体人设模拟，旨在增强想象力和提供商业洞察。|
+| 719|[microsoft/TinyTroupe](https://github.com/microsoft/TinyTroupe) |基于LLM技术的多智能体人设模拟，旨在增强想象力和提供商业洞察。|
| 720|[lxfater/inpaint-web](https://github.com/lxfater/inpaint-web) |一款基于 Webgpu 技术和 wasm 技术的免费开源 inpainting 和图像放大工具,可在浏览器上运行。|
| 721|[myshell-ai/MeloTTS](https://github.com/myshell-ai/MeloTTS) |MyShell.ai 提供的高质量多语言文本转语音库。支持英语、西班牙语、法语、中文、日语和韩语。|
| 722|[openchatai/OpenCopilot](https://github.com/openchatai/OpenCopilot) |让您的用户通过文字与您的产品功能进行交流并执行操作-开源Shopify助手|
-| 723|[microsoft/SynapseML](https://github.com/microsoft/SynapseML) |简单且分布式的机器学习。|
-| 724|[Permify/permify](https://github.com/Permify/permify) |一个受Google Zanzibar启发的开源授权服务，旨在构建和管理任何应用程序的细粒度和可扩展的授权系统。|
-| 725|[DrewThomasson/ebook2audiobook](https://github.com/DrewThomasson/ebook2audiobook) |使用动态AI模型和语音克隆，将电子书转换为带有章节和元数据的有声书。支持1,107种语言！|
+| 723|[microsoft/SynapseML](https://github.com/microsoft/SynapseML) |简单且分布式的机器学习。|
+| 724|[DrewThomasson/ebook2audiobook](https://github.com/DrewThomasson/ebook2audiobook) |使用动态AI模型和语音克隆，将电子书转换为带有章节和元数据的有声书。支持1,107种语言！|
+| 725|[Permify/permify](https://github.com/Permify/permify) |一个受Google Zanzibar启发的开源授权服务，旨在构建和管理任何应用程序的细粒度和可扩展的授权系统。|
| 726|[aigc-apps/sd-webui-EasyPhoto](https://github.com/aigc-apps/sd-webui-EasyPhoto) |📷 EasyPhoto |
| 727|[OpenInterpreter/01](https://github.com/OpenInterpreter/01) |开源语言模型计算机|
| 728|[OpenGVLab/DragGAN](https://github.com/OpenGVLab/DragGAN) |DragGAN的非官方实现 - "Drag Your GAN：在生成图像流形上进行交互式基于点的操作"（DragGAN全功能实现，在线演示，本地部署试用，代码、模型已全部开源，支持Windows、macOS和Linux）。|
| 729| [mpociot/chatgpt-vscode](https://github.com/mpociot/chatgpt-vscode)  | VSCode集成ChatGPT |
-| 730|[apify/crawlee-python](https://github.com/apify/crawlee-python) |Crawlee是一个用于Python的网络抓取和浏览器自动化库，用于构建可靠的网络爬虫。从网站提取数据以供人工智能、LLMs、RAG或GPTs使用。可以下载网站上的HTML、PDF、JPG、PNG和其他文件。与BeautifulSoup、Playwright和原始HTTP兼容。支持有头和无头模式，并带有代理轮换功能。|
+| 730|[apify/crawlee-python](https://github.com/apify/crawlee-python) |Crawlee是一个用于Python的网络抓取和浏览器自动化库，用于构建可靠的网络爬虫。从网站提取数据以供人工智能、LLMs、RAG或GPTs使用。可以下载网站上的HTML、PDF、JPG、PNG和其他文件。与BeautifulSoup、Playwright和原始HTTP兼容。支持有头和无头模式，并带有代理轮换功能。|
| 731|[allenai/OLMo](https://github.com/allenai/OLMo) |OLMo的建模、训练、评估和推断代码|
| 732|[ChaoningZhang/MobileSAM](https://github.com/ChaoningZhang/MobileSAM) |这是Faster Segment Anything（MobileSAM）项目的官方代码，使SAM变得轻巧。|
| 733|[leanprover/lean4](https://github.com/leanprover/lean4) |Lean 4 编程语言和定理证明器|
| 734|[OpenBMB/ToolBench](https://github.com/OpenBMB/ToolBench) |一个用于训练、提供服务和评估大型语言模型以进行工具学习的开放平台。|
-| 735|[alpkeskin/mosint](https://github.com/alpkeskin/mosint) |一个自动化的电子邮件OSINT工具|
+| 735|[alpkeskin/mosint](https://github.com/alpkeskin/mosint) |一个自动化的电子邮件OSINT工具|
| 736|[AILab-CVC/YOLO-World](https://github.com/AILab-CVC/YOLO-World) |实时开放词汇物体检测|
-| 737|[xxlong0/Wonder3D](https://github.com/xxlong0/Wonder3D) |一种用于从单个图像进行三维重建的跨域扩散模型|
-| 738|[SuperDuperDB/superduperdb](https://github.com/SuperDuperDB/superduperdb) |🔮 SuperDuperDB：将人工智能引入您的数据库：直接与您的数据库和数据集集成、训练和管理任何人工智能模型和API。|
-| 739|[modelscope/swift](https://github.com/modelscope/swift) |使用PEFT或Full-parameter对200个LLMs或15个MLLMs进行微调|
+| 737|[modelscope/swift](https://github.com/modelscope/swift) |使用PEFT或Full-parameter对200个LLMs或15个MLLMs进行微调|
+| 738|[xxlong0/Wonder3D](https://github.com/xxlong0/Wonder3D) |一种用于从单个图像进行三维重建的跨域扩散模型|
+| 739|[SuperDuperDB/superduperdb](https://github.com/SuperDuperDB/superduperdb) |🔮 SuperDuperDB：将人工智能引入您的数据库：直接与您的数据库和数据集集成、训练和管理任何人工智能模型和API。|
| 740|[lvwzhen/law-cn-ai](https://github.com/lvwzhen/law-cn-ai)  |⚖️ AI 法律助手|
| 741|[huggingface/alignment-handbook](https://github.com/huggingface/alignment-handbook) |"稳健的食谱，用于将语言模型与人类和AI偏好进行协调"|
| 742|[huggingface/parler-tts](https://github.com/huggingface/parler-tts) |高质量TTS模型的推理和训练库。|
| 743|[QuivrHQ/MegaParse](https://github.com/QuivrHQ/MegaParse) |针对LLM Ingestion进行优化，无损文件解析器 🧠 解析PDF、Docx、PPTx，格式适合LLMs。|
-| 744|[pydantic/pydantic-ai](https://github.com/pydantic/pydantic-ai) |代理框架/适配器，用于在LLMs中使用Pydantic|
-| 745|[qiuyu96/CoDeF](https://github.com/qiuyu96/CoDeF) |CoDeF: 内容变形场的官方PyTorch实现，用于时序一致性视频处理。|
+| 744|[pydantic/pydantic-ai](https://github.com/pydantic/pydantic-ai) |代理框架/适配器，用于在LLMs中使用Pydantic|
+| 745|[qiuyu96/CoDeF](https://github.com/qiuyu96/CoDeF) |CoDeF: 内容变形场的官方PyTorch实现，用于时序一致性视频处理。|
| 746|[GaiaNet-AI/gaianet-node](https://github.com/GaiaNet-AI/gaianet-node) |安装并运行您自己的人工智能代理服务|
| 747|[microsoft/Mastering-GitHub-Copilot-for-Paired-Programming](https://github.com/microsoft/Mastering-GitHub-Copilot-for-Paired-Programming) |一门包括6课时的课程，教授关于利用 GitHub Copilot 和人工智能配对编程资源的一切知识。|
| 748|[fudan-generative-vision/champ](https://github.com/fudan-generative-vision/champ) |冠军: 使用3D参数引导实现可控且一致的人类形象动画|
@@ -793,14 +793,14 @@
| 761|[n8n-io/self-hosted-ai-starter-kit](https://github.com/n8n-io/self-hosted-ai-starter-kit) |自助式AI入门套件是一个开源模板，可以快速设置本地AI环境。由n8n精心策划，提供了创建安全、自托管的AI工作流所需的基本工具。|
| 762|[togethercomputer/RedPajama-Data](https://github.com/togethercomputer/RedPajama-Data)  |用于准备大型数据集以训练大型语言模型的代码|
| 763|[facebookincubator/AITemplate](https://github.com/facebookincubator/AITemplate)  |AITemplate是一个Python框架，可以将神经网络渲染成高性能的CUDA/HIP C代码。专门用于FP16 TensorCore（NVIDIA GPU）和MatrixCore（AMD GPU）的推理。|
-| 764|[asg017/sqlite-vec](https://github.com/asg017/sqlite-vec) |在任何地方运行的正在进行中的向量搜索 SQLite 扩展。|
+| 764|[asg017/sqlite-vec](https://github.com/asg017/sqlite-vec) |在任何地方运行的正在进行中的向量搜索 SQLite 扩展。|
| 765|[pytorch/torchtune](https://github.com/pytorch/torchtune) |LLM微调的Native-PyTorch库|
| 766|[1rgs/jsonformer](https://github.com/1rgs/jsonformer)  |生成结构化JSON的一种可靠方法：使用语言模型。|
| 767|[livekit/agents](https://github.com/livekit/agents) |构建实时多模态人工智能应用程序 🤖🎙️📹|
| 768|[terraform-aws-modules/terraform-aws-eks](https://github.com/terraform-aws-modules/terraform-aws-eks) |用于创建AWS弹性Kubernetes（EKS）资源的Terraform模块 🇺🇦|
| 769|[Fanghua-Yu/SUPIR](https://github.com/Fanghua-Yu/SUPIR) |SUPIR旨在开发针对野外环境的实用算法，用于实现照片级逼真图像修复。|
-| 770|[build-trust/ockam](https://github.com/build-trust/ockam) |在分布式应用之间大规模组织端到端加密、密码身份、相互认证和授权策略。|
-| 771|[sanchit-gandhi/whisper-jax](https://github.com/sanchit-gandhi/whisper-jax)  |针对OpenAI的Whisper模型进行了优化的JAX代码，主要基于Hugging Face Transformers Whisper实现|
+| 770|[build-trust/ockam](https://github.com/build-trust/ockam) |在分布式应用之间大规模组织端到端加密、密码身份、相互认证和授权策略。|
+| 771|[sanchit-gandhi/whisper-jax](https://github.com/sanchit-gandhi/whisper-jax)  |针对OpenAI的Whisper模型进行了优化的JAX代码，主要基于Hugging Face Transformers Whisper实现|
| 772|[UX-Decoder/Segment-Everything-Everywhere-All-At-Once](https://github.com/UX-Decoder/Segment-Everything-Everywhere-All-At-Once)  |这篇论文的官方实现："Segment Everything Everywhere All at Once"|
| 773| [madawei2699/myGPTReader](https://github.com/madawei2699/myGPTReader)  | 一个 Slack 机器人，可以阅读任何网页、电子书或文档，并使用 ChatGPT 进行摘要 |
| 774|[NVlabs/neuralangelo](https://github.com/NVlabs/neuralangelo) |"Neuralangelo: 高保真神经表面重建"的官方实现（CVPR 2023）|
@@ -810,7 +810,7 @@
| 778|[sjvasquez/handwriting-synthesis](https://github.com/sjvasquez/handwriting-synthesis)  |手写合成与递归神经网络(RNNs) ✏️|
| 779|[Nukem9/dlssg-to-fsr3](https://github.com/Nukem9/dlssg-to-fsr3) |将AMD FSR3帧生成添加到游戏中，以取代Nvidia DLSS-G帧生成（nvngx_dlssg）。|
| 780|[espeak-ng/espeak-ng](https://github.com/espeak-ng/espeak-ng) |eSpeak NG是一个开源语音合成器，支持100多种语言和口音。|
-| 781|[BuilderIO/ai-shell](https://github.com/BuilderIO/ai-shell)  |将自然语言转换为Shell命令的CLI工具|
+| 781|[BuilderIO/ai-shell](https://github.com/BuilderIO/ai-shell)  |将自然语言转换为Shell命令的CLI工具|
| 782|[OpenBMB/AgentVerse](https://github.com/OpenBMB/AgentVerse) |🤖 AgentVerse 🪐 提供了一个灵活的框架，简化了为大型语言模型（LLMs）构建定制的多代理环境的过程。|
| 783|[SciPhi-AI/R2R](https://github.com/SciPhi-AI/R2R) |快速开发和部署生产就绪的RAG系统的框架。|
| 784|[WhiskeySockets/Baileys](https://github.com/WhiskeySockets/Baileys) |轻量级全功能 TypeScript/JavaScript WhatsApp Web API|
@@ -819,9 +819,9 @@
| 787|[openai/plugins-quickstart](https://github.com/openai/plugins-quickstart)  |在5分钟内让ChatGPT插件起来并运行|
| 788|[google-deepmind/alphageometry](https://github.com/google-deepmind/alphageometry) |不使用人类演示解决奥林匹克几何题|
| 789|[smol-ai/GodMode](https://github.com/smol-ai/GodMode) |AI Chat Browser：快速、完整的 Web 应用程序访问 ChatGPT / Claude / Bard / Bing / Llama2！我每天使用它20次。|
-| 790|[Doriandarko/maestro](https://github.com/Doriandarko/maestro) |克劳德奥普斯智能编排子代理的框架。|
+| 790|[Doriandarko/maestro](https://github.com/Doriandarko/maestro) |克劳德奥普斯智能编排子代理的框架。|
| 791|[Blealtan/efficient-kan](https://github.com/Blealtan/efficient-kan) |一个高效的纯PyTorch实现的Kolmogorov-Arnold网络（KAN）。|
-| 792|[argilla-io/argilla](https://github.com/argilla-io/argilla) |Argilla 是一个针对需要高质量输出、完全数据所有权和整体效率的AI工程师和领域专家的协作平台。|
+| 792|[argilla-io/argilla](https://github.com/argilla-io/argilla) |Argilla 是一个针对需要高质量输出、完全数据所有权和整体效率的AI工程师和领域专家的协作平台。|
| 793|[Speykious/cve-rs](https://github.com/Speykious/cve-rs) |在100%安全的Rust语言中编写的极速内存漏洞。 🦀|
| 794|[Facico/Chinese-Vicuna](https://github.com/Facico/Chinese-Vicuna)  |一个中文低资源的llama+lora方案，结构参考alpaca|
| 795|[ray-project/llm-numbers](https://github.com/ray-project/llm-numbers)  |每个 LLM（语言模型）开发者都应该了解的数字。|
@@ -830,10 +830,10 @@
| 798|[leetcode-mafia/cheetah](https://github.com/leetcode-mafia/cheetah)  |这个项目是一个基于 GPT 技术的应用程序，用于通过 Whisper 进行远程软件工程师面试。|
| 799|[CrazyBoyM/llama3-Chinese-chat](https://github.com/CrazyBoyM/llama3-Chinese-chat) |Llama3 中文仓库（聚合资料：各种网友及厂商微调、魔改版本有趣权重 & 训练、推理、部署教程视频 & 文档）|
| 800|[yisol/IDM-VTON](https://github.com/yisol/IDM-VTON) |IDM-VTON：提高野外真实虚拟试穿的扩散模型|
-| 801|[pipecat-ai/pipecat](https://github.com/pipecat-ai/pipecat) |开源的声音和多模态对话人工智能框架|
+| 801|[pipecat-ai/pipecat](https://github.com/pipecat-ai/pipecat) |开源的声音和多模态对话人工智能框架|
| 802|[argmaxinc/WhisperKit](https://github.com/argmaxinc/WhisperKit) |iOS 和 macOS 应用程序的 Swift 本地语音识别。|
| 803|[openai/grok](https://github.com/openai/grok) |当你坚持时，世界会让路。|
-| 804|[fchollet/ARC-AGI](https://github.com/fchollet/ARC-AGI) |抽象与推理语料库|
+| 804|[fchollet/ARC-AGI](https://github.com/fchollet/ARC-AGI) |抽象与推理语料库|
| 805|[collabora/WhisperSpeech](https://github.com/collabora/WhisperSpeech) |由反向 Whisper 构建的开源文本转语音系统。|
| 806|[xlang-ai/OpenAgents](https://github.com/xlang-ai/OpenAgents) |OpenAgents: 一种适用于自然语言代理程序的开放平台|
| 807|[damo-vilab/AnyDoor](https://github.com/damo-vilab/AnyDoor) |论文《Anydoor: zero-shot object-level image customization》的官方实现|
@@ -841,36 +841,36 @@
| 809|[facebookresearch/co-tracker](https://github.com/facebookresearch/co-tracker) |CoTracker 是用于跟踪视频上任意点（像素）的模型。|
| 810|[LLM-Red-Team/kimi-free-api](https://github.com/LLM-Red-Team/kimi-free-api) |KIMI AI 提供长文本大模型白嫖服务，支持快速连续输出、联网搜索、长文档理解、图像解析、多轮对话，无需配置部署，支持多个 token，自动清除会话记录。|
| 811|[mshumer/gpt-llm-trainer](https://github.com/mshumer/gpt-llm-trainer) |很高兴能帮助您。请提供需要翻译的内容，我会尽快为您提供翻译后的文本。|
-| 812|[comet-ml/opik](https://github.com/comet-ml/opik) |开源端到端LLM开发平台|
+| 812|[comet-ml/opik](https://github.com/comet-ml/opik) |开源端到端LLM开发平台|
| 813| [keijiro/AICommand](https://github.com/keijiro/AICommand)  | 将ChatGPT集成到Unity Editor |
-| 814|[philz1337x/clarity-upscaler](https://github.com/philz1337x/clarity-upscaler) |清晰度增强器：为所有人重新构想的图像放大技术|
-| 815|[deepseek-ai/DeepSeek-V2](https://github.com/deepseek-ai/DeepSeek-V2) |当然，请提供要翻译的内容。|
-| 816|[k2-fsa/sherpa-onnx](https://github.com/k2-fsa/sherpa-onnx) |语音转文本、文本转语音和说话者识别，使用下一代Kaldi和onnxruntime，在没有互联网连接的情况下。支持嵌入式系统、Android、iOS、Raspberry Pi、RISC-V、x86_64服务器、websocket 服务器/客户端、C/C++、Python、Kotlin、C#、Go、NodeJS、Java、Swift。|
+| 814|[philz1337x/clarity-upscaler](https://github.com/philz1337x/clarity-upscaler) |清晰度增强器：为所有人重新构想的图像放大技术|
+| 815|[deepseek-ai/DeepSeek-V2](https://github.com/deepseek-ai/DeepSeek-V2) |当然，请提供要翻译的内容。|
+| 816|[k2-fsa/sherpa-onnx](https://github.com/k2-fsa/sherpa-onnx) |语音转文本、文本转语音和说话者识别，使用下一代Kaldi和onnxruntime，在没有互联网连接的情况下。支持嵌入式系统、Android、iOS、Raspberry Pi、RISC-V、x86_64服务器、websocket 服务器/客户端、C/C++、Python、Kotlin、C#、Go、NodeJS、Java、Swift。|
| 817|[AutoMQ/automq](https://github.com/AutoMQ/automq) |AutoMQ是云原生的替代Kafka方案，通过将耐用性解耦到S3和EBS上。成本效益提高了10倍。可在几秒内自动扩展。延迟在个位数毫秒内。|
| 818|[luban-agi/Awesome-AIGC-Tutorials](https://github.com/luban-agi/Awesome-AIGC-Tutorials) |精选的教程和资源，涵盖大型语言模型、AI绘画等领域。|
| 819|[alibaba-damo-academy/FunClip](https://github.com/alibaba-damo-academy/FunClip) |开源、精准、易于使用的视频剪辑工具，集成了基于大型语言模型的人工智能剪辑。|
-| 820|[metavoiceio/metavoice-src](https://github.com/metavoiceio/metavoice-src) |人类级别的语音智能的人工智能|
-| 821|[MarkFzp/mobile-aloha](https://github.com/MarkFzp/mobile-aloha) |移动ALOHA：使用低成本全身远程操作学习双手移动操作|
-| 822|[ragapp/ragapp](https://github.com/ragapp/ragapp) |在任何企业中使用Agentic RAG的最简单方法|
-| 823|[google-research/timesfm](https://github.com/google-research/timesfm) |TimesFM（Time Series Foundation Model）是由Google Research开发的预训练时间序列基础模型，用于时间序列预测。|
-| 824|[MahmoudAshraf97/whisper-diarization](https://github.com/MahmoudAshraf97/whisper-diarization) |自动语音识别与基于OpenAI Whisper的说话人分离。|
+| 820|[google-research/timesfm](https://github.com/google-research/timesfm) |TimesFM（Time Series Foundation Model）是由Google Research开发的预训练时间序列基础模型，用于时间序列预测。|
+| 821|[metavoiceio/metavoice-src](https://github.com/metavoiceio/metavoice-src) |人类级别的语音智能的人工智能|
+| 822|[MarkFzp/mobile-aloha](https://github.com/MarkFzp/mobile-aloha) |移动ALOHA：使用低成本全身远程操作学习双手移动操作|
+| 823|[ragapp/ragapp](https://github.com/ragapp/ragapp) |在任何企业中使用Agentic RAG的最简单方法|
+| 824|[MahmoudAshraf97/whisper-diarization](https://github.com/MahmoudAshraf97/whisper-diarization) |自动语音识别与基于OpenAI Whisper的说话人分离。|
| 825|[intelowlproject/IntelOwl](https://github.com/intelowlproject/IntelOwl) |IntelOwl：规模化管理您的威胁情报|
| 826|[Significant-Gravitas/Auto-GPT-Plugins](https://github.com/Significant-Gravitas/Auto-GPT-Plugins)  |自动GPT的插件。|
| 827|[raspberrypi/pico-sdk](https://github.com/raspberrypi/pico-sdk) |当用户要求将文本翻译成中文时，我会尽力提供准确的翻译。请提供您想要翻译的具体文本，我将尽快为您完成翻译。|
-| 828|[TEN-framework/TEN-Agent](https://github.com/TEN-framework/TEN-Agent) ||
-| 829|[apple/ml-mgie](https://github.com/apple/ml-mgie) |Certainly! Please provide the content you would like me to translate into Chinese.|
+| 828|[TEN-framework/TEN-Agent](https://github.com/TEN-framework/TEN-Agent) ||
+| 829|[apple/ml-mgie](https://github.com/apple/ml-mgie) |Certainly! Please provide the content you would like me to translate into Chinese.|
| 830|[llSourcell/DoctorGPT](https://github.com/llSourcell/DoctorGPT) |DoctorGPT是一种能够通过美国医师执照考试的大型语言模型。它可以脱机工作，跨平台运行，并且您的健康数据将保持私密。|
| 831|[FlagAI-Open/FlagAI](https://github.com/FlagAI-Open/FlagAI) |FlagAI（Fast LArge-scale General AI models）是一个快速、易于使用和可扩展的大规模模型工具包。|
| 832|[jackMort/ChatGPT.nvim](https://github.com/jackMort/ChatGPT.nvim) |ChatGPT Neovim 插件：使用 OpenAI 的 ChatGPT API 轻松生成自然语言|
| 833|[ravenscroftj/turbopilot](https://github.com/ravenscroftj/turbopilot)  |Turbopilot是一个基于开源的大语言模型的代码自动完成引擎，可以在CPU上本地运行|
| 834|[shroominic/codeinterpreter-api](https://github.com/shroominic/codeinterpreter-api) |ChatGPT代码解释器的开源实现 👾|
-| 835|[anti-work/shortest](https://github.com/anti-work/shortest) ||
+| 835|[anti-work/shortest](https://github.com/anti-work/shortest) ||
| 836|[Tencent/HunyuanDiT](https://github.com/Tencent/HunyuanDiT) |混元-DiT：一种具有细粒度中文理解能力的强大多分辨率扩散变压器|
| 837|[SysCV/sam-hq](https://github.com/SysCV/sam-hq) |高质量分割任何东西|
-| 838|[QwenLM/Qwen2.5-Coder](https://github.com/QwenLM/Qwen2.5-Coder) |Qwen2.5-Coder是由阿里巴巴云Qwen团队开发的大型语言模型系列Qwen2.5的代码版本。|
+| 838|[QwenLM/Qwen2.5-Coder](https://github.com/QwenLM/Qwen2.5-Coder) |Qwen2.5-Coder是由阿里巴巴云Qwen团队开发的大型语言模型系列Qwen2.5的代码版本。|
| 839|[ostris/ai-toolkit](https://github.com/ostris/ai-toolkit) |各种人工智能脚本。主要是稳定的扩散内容。|
| 840|[Codium-ai/AlphaCodium](https://github.com/Codium-ai/AlphaCodium) |在代码竞赛中超越大多数人类竞争者的代码生成工具|
-| 841|[alibaba/higress](https://github.com/alibaba/higress) |🤖 人工智能网关 |
+| 841|[alibaba/higress](https://github.com/alibaba/higress) |🤖 人工智能网关 |
| 842|[awslabs/multi-agent-orchestrator](https://github.com/awslabs/multi-agent-orchestrator) |灵活而强大的框架，用于管理多个AI代理并处理复杂对话。|
| 843|[hiyouga/ChatGLM-Efficient-Tuning](https://github.com/hiyouga/ChatGLM-Efficient-Tuning) |基于 PEFT 的高效 ChatGLM 微调|
| 844|[huggingface/distil-whisper](https://github.com/huggingface/distil-whisper) |当你相信自己，你就能更多地去探索，创造，和实现。|
@@ -879,20 +879,20 @@
| 847|[0hq/WebGPT](https://github.com/0hq/WebGPT)  |在浏览器上使用WebGPU运行GPT模型。这是一个使用不到2000行纯JavaScript实现的GPT推理的项目。|
| 848| [Yue-Yang/ChatGPT-Siri](https://github.com/Yue-Yang/ChatGPT-Siri)  | 由 ChatGPT API gpt-3.5-turbo 模型驱动的智能 Siri，支持连续对话，配置API key，保存聊天记录 |
| 849|[deanxv/coze-discord-proxy](https://github.com/deanxv/coze-discord-proxy) |使用代理Discord-Bot与Coze-Bot对话，以API形式请求GPT-4对话模型/微调模型。|
-| 850|[nucleuscloud/neosync](https://github.com/nucleuscloud/neosync) |开源数据匿名化和合成数据编排，适用于开发人员。创建高保真度的合成数据，并在各个环境中进行同步。|
+| 850|[nucleuscloud/neosync](https://github.com/nucleuscloud/neosync) |开源数据匿名化和合成数据编排，适用于开发人员。创建高保真度的合成数据，并在各个环境中进行同步。|
| 851|[Luodian/Otter](https://github.com/Luodian/Otter) |🦦 Otter是一个基于OpenFlamingo（DeepMind的Flamingo的开源版本）的多模态模型，它在MIMIC-IT上进行了训练，并展示了改进的指令跟随和上下文学习能力。|
| 852|[ricklamers/gpt-code-ui](https://github.com/ricklamers/gpt-code-ui)  |OpenAI的ChatGPT代码解释器的开源实现|
| 853|[whoiskatrin/chart-gpt](https://github.com/whoiskatrin/chart-gpt)  |可以使用自然语言处理和机器学习技术来构建一个基于文本输入的 AI 工具，用于生成图表。|
| 854|[hemansnation/God-Level-Data-Science-ML-Full-Stack](https://github.com/hemansnation/God-Level-Data-Science-ML-Full-Stack)  |一个包含16章的路线图，涵盖了用于构建故事和模型的科学方法、流程、算法和系统。无论您是该领域的新手还是想转入数据科学和人工智能领域的经验丰富的专业人士，都可以使用此路线图。|
-| 855|[agiresearch/AIOS](https://github.com/agiresearch/AIOS) |AIOS：LLM代理操作系统|
+| 855|[agiresearch/AIOS](https://github.com/agiresearch/AIOS) |AIOS：LLM代理操作系统|
| 856|[spring-projects/spring-ai](https://github.com/spring-projects/spring-ai) |人工智能工程的应用框架|
| 857|[cvg/LightGlue](https://github.com/cvg/LightGlue) |LightGlue：光速局部特征匹配（ICCV 2023）|
| 858| [Kent0n-Li/ChatDoctor](https://github.com/Kent0n-Li/ChatDoctor)  | 使用医学领域知识对 LLaMA 模型进行微调的医疗聊天模型 |
| 859|[minimaxir/simpleaichat](https://github.com/minimaxir/simpleaichat) |用于轻松与聊天应用程序进行交互的Python软件包，具有强大的功能和最少的代码复杂性。|
| 860|[xtekky/chatgpt-clone](https://github.com/xtekky/chatgpt-clone)  |ChatGPT界面更好的用户界面|
-| 861|[truefoundry/cognita](https://github.com/truefoundry/cognita) |RAG（Retrieval Augmented Generation）框架是由TrueFoundry用于构建模块化、开源生产应用程序的。|
-| 862|[google/security-research](https://github.com/google/security-research) |该项目托管了与在Google进行的研究相关的安全公告及其相应的概念验证，这些公告影响非Google拥有的代码。|
-| 863|[hengyoush/kyanos](https://github.com/hengyoush/kyanos) |在命令行中观察并分析可视化时间数据包在内核中的消耗。|
+| 861|[truefoundry/cognita](https://github.com/truefoundry/cognita) |RAG（Retrieval Augmented Generation）框架是由TrueFoundry用于构建模块化、开源生产应用程序的。|
+| 862|[hengyoush/kyanos](https://github.com/hengyoush/kyanos) |在命令行中观察并分析可视化时间数据包在内核中的消耗。|
+| 863|[google/security-research](https://github.com/google/security-research) |该项目托管了与在Google进行的研究相关的安全公告及其相应的概念验证，这些公告影响非Google拥有的代码。|
| 864|[emptycrown/llama-hub](https://github.com/emptycrown/llama-hub)  |一个由社区创建的用于LLM（Large Language Models）的数据加载器库，可与GPT Index和/或LangChain一起使用。|
| 865|[pytorch/torchchat](https://github.com/pytorch/torchchat) |在服务器、台式机和移动设备上本地运行 PyTorch 语言模型|
| 866|[krishnaik06/Roadmap-To-Learn-Generative-AI-In-2024](https://github.com/krishnaik06/Roadmap-To-Learn-Generative-AI-In-2024) |学习生成式人工智能的路线图（2024年版）|
@@ -905,12 +905,12 @@
| 873|[albertan017/LLM4Decompile](https://github.com/albertan017/LLM4Decompile) |逆向工程：使用大型语言模型对二进制代码进行反编译|
| 874|[jupyterlab/jupyter-ai](https://github.com/jupyterlab/jupyter-ai) |一个用于JupyterLab的生成式人工智能扩展。|
| 875|[Zipstack/unstract](https://github.com/Zipstack/unstract) |非编程 LLM 平台，用于发布 API 和 ETL 管道以结构化非结构化文档。|
-| 876|[NVIDIA/garak](https://github.com/NVIDIA/garak) |LLM漏洞扫描器|
-| 877|[timescale/pgai](https://github.com/timescale/pgai) |使用PostgreSQL更轻松开发RAG、语义搜索以及其他人工智能应用的工具套件。|
+| 876|[NVIDIA/garak](https://github.com/NVIDIA/garak) |LLM漏洞扫描器|
+| 877|[timescale/pgai](https://github.com/timescale/pgai) |使用PostgreSQL更轻松开发RAG、语义搜索以及其他人工智能应用的工具套件。|
| 878|[pashpashpash/vault-ai](https://github.com/pashpashpash/vault-ai)  |使用OP Stack（OpenAI Pinecone Vector数据库）给ChatGPT长期记忆，以及如何上传自定义知识库文件的说明，使用一个简单的React前端。|
-| 879|[dnhkng/GlaDOS](https://github.com/dnhkng/GlaDOS) |这是GLaDOS的人格核心，是Valve公司Portal系列中AI真实实现的第一步。|
-| 880|[X-PLUG/MobileAgent](https://github.com/X-PLUG/MobileAgent) |移动代理：具有视觉感知能力的自主多模移动设备代理|
-| 881|[dvlab-research/MiniGemini](https://github.com/dvlab-research/MiniGemini) |Mini-Gemini的官方实现|
+| 879|[dnhkng/GlaDOS](https://github.com/dnhkng/GlaDOS) |这是GLaDOS的人格核心，是Valve公司Portal系列中AI真实实现的第一步。|
+| 880|[X-PLUG/MobileAgent](https://github.com/X-PLUG/MobileAgent) |移动代理：具有视觉感知能力的自主多模移动设备代理|
+| 881|[dvlab-research/MiniGemini](https://github.com/dvlab-research/MiniGemini) |Mini-Gemini的官方实现|
| 882|[AprilNEA/ChatGPT-Admin-Web](https://github.com/AprilNEA/ChatGPT-Admin-Web)  |带有用户管理和后台管理系统的 ChatGPT WebUI|
| 883|[OpenGVLab/InternGPT](https://github.com/OpenGVLab/InternGPT)  |InternGPT（iGPT）是一个开源的演示平台，您可以在其中轻松展示您的AI模型。现在它支持DragGAN、ChatGPT、ImageBind、多模态对话（类似GPT-4）、SAM、交互式图像编辑等功能。请在igpt.opengvlab.com上尝试（支持DragGAN、ChatGPT、ImageBind、SAM的在线Demo系统）。|
| 884|[ethen8181/machine-learning](https://github.com/ethen8181/machine-learning) |🌎 机器学习教程（主要使用Python3）|
@@ -918,14 +918,14 @@
| 886|[iusztinpaul/hands-on-llms](https://github.com/iusztinpaul/hands-on-llms) |🦖 免费设计、培训和部署实时金融顾问LLM系统，了解LLMs、LLMOps和向量数据库的知识 〜 源代码视频 & 阅读材料|
| 887|[linyiLYi/bilibot](https://github.com/linyiLYi/bilibot) |一个通过bilibili用户评论进行优化的本地聊天机器人。|
| 888|[CanadaHonk/porffor](https://github.com/CanadaHonk/porffor) |用JavaScript编写的从零开始的实验性AOT JS引擎|
-| 889|[ai-boost/Awesome-GPTs](https://github.com/ai-boost/Awesome-GPTs) |精选的令人赞叹的GPT列表 👍。|
-| 890|[microsoft/torchgeo](https://github.com/microsoft/torchgeo) |TorchGeo：用于地理空间数据的数据集、采样器、转换和预训练模型|
-| 891|[Ironclad/rivet](https://github.com/Ironclad/rivet)  | 开源的视觉人工智能编程环境和TypeScript库 |
-| 892|[hustvl/Vim](https://github.com/hustvl/Vim) |Vision Mamba: 高效的双向状态空间模型视觉表示学习|
-| 893|[gptscript-ai/gptscript](https://github.com/gptscript-ai/gptscript) |自然语言编程|
-| 894|[opengeos/segment-geospatial](https://github.com/opengeos/segment-geospatial)  |一个用于使用“Segment Anything Model (SAM)”对地理空间数据进行分割的Python软件|
-| 895|[OpenSPG/KAG](https://github.com/OpenSPG/KAG) |KAG是基于OpenSPG引擎和LLMs的逻辑形式导向推理和检索框架。它用于构建专业领域知识库的逻辑推理和事实问答解决方案。它可以有效地克服传统RAG向量相似度计算模型的缺点。|
-| 896|[MarkFzp/act-plus-plus](https://github.com/MarkFzp/act-plus-plus) |具有共训练的移动ALOHA的模仿学习算法：ACT，扩散策略，VINN|
+| 889|[ai-boost/Awesome-GPTs](https://github.com/ai-boost/Awesome-GPTs) |精选的令人赞叹的GPT列表 👍。|
+| 890|[microsoft/torchgeo](https://github.com/microsoft/torchgeo) |TorchGeo：用于地理空间数据的数据集、采样器、转换和预训练模型|
+| 891|[Ironclad/rivet](https://github.com/Ironclad/rivet)  | 开源的视觉人工智能编程环境和TypeScript库 |
+| 892|[OpenSPG/KAG](https://github.com/OpenSPG/KAG) |KAG是基于OpenSPG引擎和LLMs的逻辑形式导向推理和检索框架。它用于构建专业领域知识库的逻辑推理和事实问答解决方案。它可以有效地克服传统RAG向量相似度计算模型的缺点。|
+| 893|[hustvl/Vim](https://github.com/hustvl/Vim) |Vision Mamba: 高效的双向状态空间模型视觉表示学习|
+| 894|[gptscript-ai/gptscript](https://github.com/gptscript-ai/gptscript) |自然语言编程|
+| 895|[opengeos/segment-geospatial](https://github.com/opengeos/segment-geospatial)  |一个用于使用“Segment Anything Model (SAM)”对地理空间数据进行分割的Python软件|
+| 896|[MarkFzp/act-plus-plus](https://github.com/MarkFzp/act-plus-plus) |具有共训练的移动ALOHA的模仿学习算法：ACT，扩散策略，VINN|
| 897|[PKU-YuanGroup/Video-LLaVA](https://github.com/PKU-YuanGroup/Video-LLaVA)  |Video-LLaVA: 在投影之前通过对齐学习统一的视觉表示|
| 898|[Marker-Inc-Korea/AutoRAG](https://github.com/Marker-Inc-Korea/AutoRAG) |RAG 的 AutoML 工具|
| 899|[neuralmagic/deepsparse](https://github.com/neuralmagic/deepsparse) |针对CPU的稀疏感知深度学习推理运行时|
@@ -936,7 +936,7 @@
| 904|[damo-vilab/i2vgen-xl](https://github.com/damo-vilab/i2vgen-xl) |VGen的官方仓库：基于扩散模型构建的全面视频生成生态系统|
| 905|[Azure-Samples/cognitive-services-speech-sdk](https://github.com/Azure-Samples/cognitive-services-speech-sdk) |Microsoft认知服务语音SDK的示例代码|
| 906|[DataTalksClub/llm-zoomcamp](https://github.com/DataTalksClub/llm-zoomcamp) |LLM Zoomcamp - 一个免费的在线课程，教授如何构建能回答有关知识库问题的人工智能机器人。|
-| 907|[huggingface/safetensors](https://github.com/huggingface/safetensors) |存储和分发张量的简单安全方式。|
+| 907|[huggingface/safetensors](https://github.com/huggingface/safetensors) |存储和分发张量的简单安全方式。|
| 908|[williamyang1991/Rerender_A_Video](https://github.com/williamyang1991/Rerender_A_Video) |【SIGGRAPH Asia 2023】重新渲染视频：零样本文本引导视频到视频翻译|
| 909|[baichuan-inc/Baichuan-13B](https://github.com/baichuan-inc/Baichuan-13B) |一个由百川智能科技开发的13B大型语言模型。|
| 910|[adamcohenhillel/ADeus](https://github.com/adamcohenhillel/ADeus) |一个开源的AI可穿戴设备，可以捕捉你在现实世界中说和听到的内容，然后将其转录并存储在你自己的服务器上。然后你可以使用应用与 Adeus 进行聊天，它将拥有关于你想谈论的内容的所有正确背景信息 - 一个真正个性化的、私人的AI。|
@@ -944,30 +944,30 @@
| 912|[li-plus/chatglm.cpp](https://github.com/li-plus/chatglm.cpp) |ChatGLM-6B 和 ChatGLM2-6B 的 C 语言实现，以及 ChatGLM3 和更多的LLMs。|
| 913|[Helicone/helicone](https://github.com/Helicone/helicone) |🧊 面向开发者的开源LLM-观测平台。一键集成监控、指标、评估、代理追踪、提示管理、沙盒等功能。支持OpenAI SDK、Vercel AI SDK、Anthropic SDK、LiteLLM、LLamaIndex、LangChain等。🍓 YC W23|
| 914|[gmpetrov/databerry](https://github.com/gmpetrov/databerry) |无代码平台用于构建定制的LLM智能体。|
-| 915|[iree-org/iree](https://github.com/iree-org/iree) |一个可重定向的基于MLIR的机器学习编译器和运行时工具包。|
-| 916|[pytorch/torchtitan](https://github.com/pytorch/torchtitan) |一个用于大型模型训练的本地PyTorch库|
-| 917|[ToTheBeginning/PuLID](https://github.com/ToTheBeginning/PuLID) |PuLID的官方代码：通过对比对齐实现纯净和闪电身份定制|
+| 915|[pytorch/torchtitan](https://github.com/pytorch/torchtitan) |一个用于大型模型训练的本地PyTorch库|
+| 916|[iree-org/iree](https://github.com/iree-org/iree) |一个可重定向的基于MLIR的机器学习编译器和运行时工具包。|
+| 917|[ToTheBeginning/PuLID](https://github.com/ToTheBeginning/PuLID) |PuLID的官方代码：通过对比对齐实现纯净和闪电身份定制|
| 918|[cohere-ai/cohere-toolkit](https://github.com/cohere-ai/cohere-toolkit) |工具包是一个预先构建的组件集合，使用户能够快速构建和部署RAG应用程序。|
| 919|[browserbase/stagehand](https://github.com/browserbase/stagehand) ||
| 920|[facebookresearch/ijepa](https://github.com/facebookresearch/ijepa) |I-JEPA，即基于图像的联合嵌入预测架构的官方代码库。该架构首次在CVPR论文《使用联合嵌入预测架构从图像进行自监督学习》中进行了概述。|
| 921|[eureka-research/Eureka](https://github.com/eureka-research/Eureka) |Eureka: 通过对大型语言模型编码实现人类水平奖励设计的官方仓库|
-| 922|[MervinPraison/PraisonAI](https://github.com/MervinPraison/PraisonAI) |PraisonAI 应用将 AutoGen 和 CrewAI 或类似框架结合成一个低代码解决方案，用于构建和管理多代理 LLM 系统，侧重于简单性、定制性和高效的人-代理协作。|
-| 923|[billmei/every-chatgpt-gui](https://github.com/billmei/every-chatgpt-gui) |ChatGPT的每个前端GUI客户端|
+| 922|[MervinPraison/PraisonAI](https://github.com/MervinPraison/PraisonAI) |PraisonAI 应用将 AutoGen 和 CrewAI 或类似框架结合成一个低代码解决方案，用于构建和管理多代理 LLM 系统，侧重于简单性、定制性和高效的人-代理协作。|
+| 923|[billmei/every-chatgpt-gui](https://github.com/billmei/every-chatgpt-gui) |ChatGPT的每个前端GUI客户端|
| 924|[NVIDIA/trt-llm-rag-windows](https://github.com/NVIDIA/trt-llm-rag-windows) |在Windows上使用TensorRT-LLM创建检索增强生成（RAG）聊天机器人的开发者参考项目。|
-| 925|[salesforce/CodeT5](https://github.com/salesforce/CodeT5)  |CodeT5之家：开放的CodeT5模型用于代码理解和生成|
+| 925|[salesforce/CodeT5](https://github.com/salesforce/CodeT5)  |CodeT5之家：开放的CodeT5模型用于代码理解和生成|
| 926|[muellerberndt/mini-agi](https://github.com/muellerberndt/mini-agi)  |这是一种基于GPT3.5/4的最小通用自主代理，可以分析股票价格、执行网络安全测试、创作艺术并订购披萨。|
| 927|[meta-llama/PurpleLlama](https://github.com/meta-llama/PurpleLlama) |评估和改进LLM安全性的工具集。|
| 928|[Stability-AI/stable-audio-tools](https://github.com/Stability-AI/stable-audio-tools) |有条件音频生成的生成模型|
| 929|[SamurAIGPT/privateGPT](https://github.com/SamurAIGPT/privateGPT)  |一个使用GPT的应用程序，可以以100%的隐私与您的文档进行互动，绝不泄露数据。|
-| 930|[sugarforever/chat-ollama](https://github.com/sugarforever/chat-ollama) |ChatOllama是一个基于LLMs的开源聊天机器人。它支持广泛的语言模型和知识库管理。|
+| 930|[sugarforever/chat-ollama](https://github.com/sugarforever/chat-ollama) |ChatOllama是一个基于LLMs的开源聊天机器人。它支持广泛的语言模型和知识库管理。|
| 931|[amazon-science/chronos-forecasting](https://github.com/amazon-science/chronos-forecasting) |Chronos：用于概率时间序列预测的预训练（语言）模型|
| 932|[nus-apr/auto-code-rover](https://github.com/nus-apr/auto-code-rover) |一个注重项目结构的自主软件工程师，旨在实现自主程序改进。|
| 933|[cvlab-columbia/zero123](https://github.com/cvlab-columbia/zero123) |Zero-1-to-3: 零样本一图转3D物体: https://zero123.cs.columbia.edu/|
| 934|[hegelai/prompttools](https://github.com/hegelai/prompttools) |开源工具用于提示测试和实验，支持LLMs（如OpenAI、LLaMA）和向量数据库（如Chroma、Weaviate）。|
| 935|[Alpha-VLLM/LLaMA2-Accessory](https://github.com/Alpha-VLLM/LLaMA2-Accessory) |一个用于语言模型微调开发的开源工具包。|
-| 936|[neo4j-labs/llm-graph-builder](https://github.com/neo4j-labs/llm-graph-builder) |使用LLMs从非结构化数据构建Neo4j图|
-| 937|[SCUTlihaoyu/open-chat-video-editor](https://github.com/SCUTlihaoyu/open-chat-video-editor)  |开源短视频自动生成工具|
-| 938|[facebookresearch/jepa](https://github.com/facebookresearch/jepa) |V-JEPA自监督学习从视频的PyTorch代码和模型。|
+| 936|[neo4j-labs/llm-graph-builder](https://github.com/neo4j-labs/llm-graph-builder) |使用LLMs从非结构化数据构建Neo4j图|
+| 937|[SCUTlihaoyu/open-chat-video-editor](https://github.com/SCUTlihaoyu/open-chat-video-editor)  |开源短视频自动生成工具|
+| 938|[facebookresearch/jepa](https://github.com/facebookresearch/jepa) |V-JEPA自监督学习从视频的PyTorch代码和模型。|
| 939|[mazzzystar/Queryable](https://github.com/mazzzystar/Queryable) |在iPhone上运行CLIP以搜索照片。|
| 940|[facebookresearch/audio2photoreal](https://github.com/facebookresearch/audio2photoreal) |代码和数据集用于从音频驱动的逼真Codec头像|
| 941|[facebookresearch/Pearl](https://github.com/facebookresearch/Pearl) |Meta公司的应用强化学习团队推出的生产就绪的强化学习人工智能代理库。|
@@ -980,40 +980,40 @@
| 948|[deepseek-ai/DeepSeek-Coder-V2](https://github.com/deepseek-ai/DeepSeek-Coder-V2) |DeepSeek-Coder-V2：突破代码智能中封闭源模型的障碍|
| 949|[johnma2006/mamba-minimal](https://github.com/johnma2006/mamba-minimal) |PyTorch中Mamba SSM的简单、最小化实现，仅使用一个文件。|
| 950|[xenova/whisper-web](https://github.com/xenova/whisper-web) |在您的浏览器中直接使用由机器学习驱动的语音识别|
-| 951|[Lightning-AI/LitServe](https://github.com/Lightning-AI/LitServe) |AI模型的闪电般快速服务引擎。灵活。简单。企业规模。|
-| 952|[leptonai/leptonai](https://github.com/leptonai/leptonai) |一个简化人工智能服务构建的Python框架|
-| 953|[mishushakov/llm-scraper](https://github.com/mishushakov/llm-scraper) |使用LLMs将任何网页转换为结构化数据|
-| 954|[github/CopilotForXcode](https://github.com/github/CopilotForXcode) ||
-| 955|[ishan0102/vimGPT](https://github.com/ishan0102/vimGPT) |使用GPT-4V和Vimium浏览网页|
-| 956|[gptlink/gptlink](https://github.com/gptlink/gptlink)  |10分钟搭建自己可免费商用的ChatGPT环境，搭建简单，包含用户，订单，任务，付费等功能。|
-| 957|[georgia-tech-db/eva](https://github.com/georgia-tech-db/eva)  |该项目名为 AI-关系数据库系统，结合了 SQL 和深度学习技术。|
-| 958|[src-d/hercules](https://github.com/src-d/hercules) |从Git仓库历史记录中获得高级见解。|
+| 951|[mishushakov/llm-scraper](https://github.com/mishushakov/llm-scraper) |使用LLMs将任何网页转换为结构化数据|
+| 952|[Lightning-AI/LitServe](https://github.com/Lightning-AI/LitServe) |AI模型的闪电般快速服务引擎。灵活。简单。企业规模。|
+| 953|[leptonai/leptonai](https://github.com/leptonai/leptonai) |一个简化人工智能服务构建的Python框架|
+| 954|[github/CopilotForXcode](https://github.com/github/CopilotForXcode) ||
+| 955|[ishan0102/vimGPT](https://github.com/ishan0102/vimGPT) |使用GPT-4V和Vimium浏览网页|
+| 956|[gptlink/gptlink](https://github.com/gptlink/gptlink)  |10分钟搭建自己可免费商用的ChatGPT环境，搭建简单，包含用户，订单，任务，付费等功能。|
+| 957|[georgia-tech-db/eva](https://github.com/georgia-tech-db/eva)  |该项目名为 AI-关系数据库系统，结合了 SQL 和深度学习技术。|
+| 958|[src-d/hercules](https://github.com/src-d/hercules) |从Git仓库历史记录中获得高级见解。|
| 959|[microsoft/Phi-3CookBook](https://github.com/microsoft/Phi-3CookBook) |这是一本适用于入门Phi-3的书籍。Phi-3是由微软开发的一系列开放AI模型。Phi-3模型是目前最具能力和性价比的小语言模型(SLMs)，在各种语言、推理、编码和数学基准测试中，其性能优于同等大小和稍大一些的模型。|
| 960|[FranxYao/chain-of-thought-hub](https://github.com/FranxYao/chain-of-thought-hub) |使用思维链式提示对大型语言模型的复杂推理能力进行基准测试。|
| 961|[kubernetes-sigs/controller-runtime](https://github.com/kubernetes-sigs/controller-runtime) |kubebuilder 的 controller-runtime 子项目（sig-apimachinery）的仓库|
-| 962|[tencentmusic/supersonic](https://github.com/tencentmusic/supersonic) |SuperSonic是下一代商业智能平台，集成了Chat BI（由LLM提供支持）和Headless BI（由语义层提供支持）范式。|
+| 962|[tencentmusic/supersonic](https://github.com/tencentmusic/supersonic) |SuperSonic是下一代商业智能平台，集成了Chat BI（由LLM提供支持）和Headless BI（由语义层提供支持）范式。|
| 963|[NVIDIA/GenerativeAIExamples](https://github.com/NVIDIA/GenerativeAIExamples) |针对加速基础设施和微服务架构优化的生成式人工智能参考工作流。|
-| 964|[jqnatividad/qsv](https://github.com/jqnatividad/qsv) |CSV文件被切分、整理和分析。|
+| 964|[jqnatividad/qsv](https://github.com/jqnatividad/qsv) |CSV文件被切分、整理和分析。|
| 965|[liou666/polyglot](https://github.com/liou666/polyglot)  |桌面端AI语言练习应用|
| 966|[elastic/otel-profiling-agent](https://github.com/elastic/otel-profiling-agent) |生产规模数据中心分析器|
| 967|[SuperTux/supertux](https://github.com/SuperTux/supertux) |SuperTux源代码|
-| 968|[MrForExample/ComfyUI-3D-Pack](https://github.com/MrForExample/ComfyUI-3D-Pack) |一个广泛的节点套件，使ComfyUI能够使用最先进的算法（3DGS、NeRF等）处理3D输入（网格和UV纹理等）。|
-| 969|[abi/secret-llama](https://github.com/abi/secret-llama) |完全私密的LLM聊天机器人，完全在浏览器上运行，无需服务器。支持Mistral和LLama 3。|
-| 970|[google-deepmind/gemma](https://github.com/google-deepmind/gemma) |谷歌DeepMind的开放权重LLM。|
+| 968|[MrForExample/ComfyUI-3D-Pack](https://github.com/MrForExample/ComfyUI-3D-Pack) |一个广泛的节点套件，使ComfyUI能够使用最先进的算法（3DGS、NeRF等）处理3D输入（网格和UV纹理等）。|
+| 969|[abi/secret-llama](https://github.com/abi/secret-llama) |完全私密的LLM聊天机器人，完全在浏览器上运行，无需服务器。支持Mistral和LLama 3。|
+| 970|[google-deepmind/gemma](https://github.com/google-deepmind/gemma) |谷歌DeepMind的开放权重LLM。|
| 971|[TMElyralab/MuseV](https://github.com/TMElyralab/MuseV) |MuseV：具有视觉条件并行去噪的无限长度和高保真虚拟人视频生成|
-| 972|[isaac-sim/IsaacLab](https://github.com/isaac-sim/IsaacLab) |基于NVIDIA Isaac Sim构建的机器人学习统一框架|
+| 972|[isaac-sim/IsaacLab](https://github.com/isaac-sim/IsaacLab) |基于NVIDIA Isaac Sim构建的机器人学习统一框架|
| 973|[baaivision/Painter](https://github.com/baaivision/Painter)  |Painter和SegGPT系列：BAAI的视觉基础模型|
| 974|[databricks/dbrx](https://github.com/databricks/dbrx) |由Databricks开发的大型语言模型DBRX的代码示例和资源|
| 975|[lamini-ai/lamini](https://github.com/lamini-ai/lamini)  |Lamini数据生成器的官方仓库，用于生成指令以训练遵循指令的LLMs|
| 976|[OpenPipe/OpenPipe](https://github.com/OpenPipe/OpenPipe) |将昂贵的提示转化为廉价的微调模型|
| 977|[mshumer/gpt-author](https://github.com/mshumer/gpt-author) |当你不能控制发生在你身上的事情时，你唯一能控制的就是如何反应。|
| 978|[microsoft/promptbench](https://github.com/microsoft/promptbench) |大型语言模型的统一评估框架|
-| 979|[lanqian528/chat2api](https://github.com/lanqian528/chat2api) |一个可以将网络上的ChatGPT转换为OpenAI API格式的服务。|
+| 979|[lanqian528/chat2api](https://github.com/lanqian528/chat2api) |一个可以将网络上的ChatGPT转换为OpenAI API格式的服务。|
| 980|[LLMBook-zh/LLMBook-zh.github.io](https://github.com/LLMBook-zh/LLMBook-zh.github.io) |《大语言模型》的作者为赵鑫、李军毅、周昆、唐天一和文继荣。|
| 981|[TracecatHQ/tracecat](https://github.com/TracecatHQ/tracecat) |😼 这是 Tines / Splunk SOAR 的 AI 原生、开源替代方案。|
| 982|[kevmo314/magic-copy](https://github.com/kevmo314/magic-copy)  |一款Chrome扩展程序，使用Meta的Segment Anything模型从图像中提取前景对象并复制到剪贴板|
-| 983|[web-infra-dev/midscene](https://github.com/web-infra-dev/midscene) |一个由人工智能驱动的自动化 SDK 可以使用自然语言控制页面，执行断言，并提取 JSON 格式的数据。|
-| 984|[nerfstudio-project/gsplat](https://github.com/nerfstudio-project/gsplat) |CUDA加速的高斯点渲染|
+| 983|[web-infra-dev/midscene](https://github.com/web-infra-dev/midscene) |一个由人工智能驱动的自动化 SDK 可以使用自然语言控制页面，执行断言，并提取 JSON 格式的数据。|
+| 984|[nerfstudio-project/gsplat](https://github.com/nerfstudio-project/gsplat) |CUDA加速的高斯点渲染|
| 985|[paulpierre/RasaGPT](https://github.com/paulpierre/RasaGPT)  |💬 RasaGPT是基于Rasa和Langchain构建的第一个无头LLM聊天机器人平台。使用Rasa、FastAPI、Langchain、LlamaIndex、SQLModel、pgvector、ngrok和telegram构建|
| 986|[girafe-ai/ml-course](https://github.com/girafe-ai/ml-course) |开放式机器学习课程|
| 987|[TMElyralab/MusePose](https://github.com/TMElyralab/MusePose) |MusePose：一种基于姿态的图像到视频框架，用于虚拟人生成。|
@@ -1030,13 +1030,13 @@
| 998|[deepseek-ai/DeepSeek-VL](https://github.com/deepseek-ai/DeepSeek-VL) |DeepSeek-VL：走向真实世界视觉-语言理解|
| 999|[mshumer/gpt-investor](https://github.com/mshumer/gpt-investor) |当你无法控制发生在你身上的事情时，唯一能做的就是控制你如何回应。|
| 1000|[allenai/open-instruct](https://github.com/allenai/open-instruct) |当你坚持做某事时，整个宇宙都会助你完成。|
-| 1001|[Yonom/assistant-ui](https://github.com/Yonom/assistant-ui) |React组件用于AI聊天 💬 🚀|
+| 1001|[Yonom/assistant-ui](https://github.com/Yonom/assistant-ui) |React组件用于AI聊天 💬 🚀|
| 1002|[aixcoder-plugin/aiXcoder-7B](https://github.com/aixcoder-plugin/aiXcoder-7B) |aiXcoder-7B Code 大型语言模型的官方仓库|
-| 1003|[princeton-nlp/SWE-bench](https://github.com/princeton-nlp/SWE-bench) |[ICLR 2024] SWE-Bench：语言模型能解决现实世界的Github问题吗？|
-| 1004|[semanser/codel](https://github.com/semanser/codel) |可以执行复杂任务和项目的完全自主的AI代理，可使用终端、浏览器和编辑器。|
+| 1003|[princeton-nlp/SWE-bench](https://github.com/princeton-nlp/SWE-bench) |[ICLR 2024] SWE-Bench：语言模型能解决现实世界的Github问题吗？|
+| 1004|[semanser/codel](https://github.com/semanser/codel) |可以执行复杂任务和项目的完全自主的AI代理，可使用终端、浏览器和编辑器。|
| 1005|[6drf21e/ChatTTS_colab](https://github.com/6drf21e/ChatTTS_colab) |🚀 一键部署（含离线整合包）！基于 ChatTTS，支持音色抽卡、长音频生成和分角色朗读。简单易用，无需复杂安装。|
| 1006|[luijait/DarkGPT](https://github.com/luijait/DarkGPT) |DarkGPT是一个基于GPT-4-200K（推荐使用）的OSINT助手，旨在对泄露的数据库进行查询，从而提供一款人工智能助手，可在您传统的OSINT过程中发挥作用。|
-| 1007|[mlabonne/llm-datasets](https://github.com/mlabonne/llm-datasets) |LLM细调的高质量数据集、工具和概念。|
+| 1007|[mlabonne/llm-datasets](https://github.com/mlabonne/llm-datasets) |LLM细调的高质量数据集、工具和概念。|
| 1008|[THUDM/CogVLM2](https://github.com/THUDM/CogVLM2) |基于Llama3-8B的开源多模态模型 GPT4V-level|
| 1009|[emcf/engshell](https://github.com/emcf/engshell)  |由LLMs提供支持的任何操作系统的英语语言Shell|
| 1010|[iterative/datachain](https://github.com/iterative/datachain) |人工智能数据仓库用于丰富、转换和分析来自云存储的数据。|
@@ -1046,15 +1046,15 @@
| 1014|[microsoft/genaiscript](https://github.com/microsoft/genaiscript) |可自动化的GenAI脚本化|
| 1015|[cgpotts/cs224u](https://github.com/cgpotts/cs224u) |斯坦福CS224u的代码|
| 1016|[Alpha-VLLM/Lumina-T2X](https://github.com/Alpha-VLLM/Lumina-T2X) |Lumina-T2X是一个用于文本转换至任何模态生成的统一框架。|
-| 1017|[openai/simple-evals](https://github.com/openai/simple-evals) |很高兴能帮助您。请提供需要翻译的内容，我会尽力满足您的要求。|
+| 1017|[openai/simple-evals](https://github.com/openai/simple-evals) |很高兴能帮助您。请提供需要翻译的内容，我会尽力满足您的要求。|
| 1018|[ant-design/x](https://github.com/ant-design/x) |轻松打造基于人工智能的界面 🤖|
-| 1019|[Azure-Samples/graphrag-accelerator](https://github.com/Azure-Samples/graphrag-accelerator) |在Azure中一键部署由知识图谱驱动的RAG（GraphRAG）|
-| 1020|[PKU-YuanGroup/MoE-LLaVA](https://github.com/PKU-YuanGroup/MoE-LLaVA) |大视觉语言模型的专家混合|
+| 1019|[Azure-Samples/graphrag-accelerator](https://github.com/Azure-Samples/graphrag-accelerator) |在Azure中一键部署由知识图谱驱动的RAG（GraphRAG）|
+| 1020|[PKU-YuanGroup/MoE-LLaVA](https://github.com/PKU-YuanGroup/MoE-LLaVA) |大视觉语言模型的专家混合|
| 1021|[Azure/PyRIT](https://github.com/Azure/PyRIT) |Python风险识别工具（PyRIT）是一个开放获取的自动化框架，旨在赋予安全专业人员和机器学习工程师主动发现其生成式AI系统中的风险能力。|
-| 1022|[anthropics/prompt-eng-interactive-tutorial](https://github.com/anthropics/prompt-eng-interactive-tutorial) |人为 Interactive Prompt 工程教程|
+| 1022|[anthropics/prompt-eng-interactive-tutorial](https://github.com/anthropics/prompt-eng-interactive-tutorial) |人为 Interactive Prompt 工程教程|
| 1023|[AI-Citizen/SolidGPT](https://github.com/AI-Citizen/SolidGPT) |与您的代码仓库进行全方位交流，提出仓库级别的代码问题，并讨论您的需求。AI扫描并学习您的代码仓库，为您提供仓库级别的代码答案🧱 🧱|
| 1024|[AI4Finance-Foundation/FinRobot](https://github.com/AI4Finance-Foundation/FinRobot) |FinRobot：一个使用LLMs进行金融应用的开源AI代理平台 🚀 🚀 🚀|
-| 1025|[PRIS-CV/DemoFusion](https://github.com/PRIS-CV/DemoFusion) |让我们民主化高分辨率图像生成！（arXiv 2023）|
+| 1025|[PRIS-CV/DemoFusion](https://github.com/PRIS-CV/DemoFusion) |让我们民主化高分辨率图像生成！（arXiv 2023）|
| 1026|[microsoft/aici](https://github.com/microsoft/aici) |AICI：提示作为（Wasm）程序。|
| 1027|[bghira/SimpleTuner](https://github.com/bghira/SimpleTuner) |一个通用的微调工具包，专注于 Stable Diffusion 2.1、Stable Diffusion 3、DeepFloyd 和 SDXL。|
| 1028|[liltom-eth/llama2-webui](https://github.com/liltom-eth/llama2-webui) |在任何地方（Linux/Windows/Mac）使用GPU或CPU本地运行带有gradio UI的Run Llama 2。支持Llama-2-7B/13B/70B，提供8位和4位支持。支持GPU推理（6GB VRAM）和CPU推理。|
@@ -1074,23 +1074,23 @@
| 1042|[YangLing0818/RPG-DiffusionMaster](https://github.com/YangLing0818/RPG-DiffusionMaster) |掌握文本到图像扩散：多模态LLMs（PRG）的重标注、规划和生成|
| 1043|[InstantStyle/InstantStyle](https://github.com/InstantStyle/InstantStyle) |InstantStyle：在文本到图像生成中朝着保留风格的免费午餐 🔥|
| 1044|[pytorch/ao](https://github.com/pytorch/ao) |PyTorch原生量化和稀疏化用于训练和推理。|
-| 1045|[microsoft/sample-app-aoai-chatGPT](https://github.com/microsoft/sample-app-aoai-chatGPT) |【预览】通过AOAI针对ChatGPT的简单网络聊天体验的示例代码。|
-| 1046|[The-OpenROAD-Project/OpenROAD](https://github.com/The-OpenROAD-Project/OpenROAD) |OpenROAD的统一应用程序实现了RTL到GDS流程。文档网址：https://openroad.readthedocs.io/en/latest/|
+| 1045|[The-OpenROAD-Project/OpenROAD](https://github.com/The-OpenROAD-Project/OpenROAD) |OpenROAD的统一应用程序实现了RTL到GDS流程。文档网址：https://openroad.readthedocs.io/en/latest/|
+| 1046|[microsoft/sample-app-aoai-chatGPT](https://github.com/microsoft/sample-app-aoai-chatGPT) |【预览】通过AOAI针对ChatGPT的简单网络聊天体验的示例代码。|
| 1047|[flowdriveai/flowpilot](https://github.com/flowdriveai/flowpilot) |flow-pilot是基于openpilot的驾驶员辅助系统，可在运行Linux、Windows和Android的设备上使用。|
-| 1048|[microsoft/PromptWizard](https://github.com/microsoft/PromptWizard) |任务感知的代理驱动提示优化框架|
-| 1049|[baaivision/Emu](https://github.com/baaivision/Emu) |鸸鹋系列：来自BAAI的生成多模态模型|
-| 1050|[linyiLYi/snake-ai](https://github.com/linyiLYi/snake-ai) |一个能够战胜经典游戏“贪吃蛇”的人工智能代理。|
-| 1051|[eloialonso/diamond](https://github.com/eloialonso/diamond) |钻石（DIAMOND）是在扩散世界模型中训练的强化学习代理。|
-| 1052|[landing-ai/vision-agent](https://github.com/landing-ai/vision-agent) |视觉代理|
-| 1053|[olimorris/codecompanion.nvim](https://github.com/olimorris/codecompanion.nvim) |✨ 基于人工智能的编码，无缝集成于Neovim。支持Anthropic、Copilot、Gemini、Ollama、OpenAI和xAI LLMs。|
+| 1048|[microsoft/PromptWizard](https://github.com/microsoft/PromptWizard) |任务感知的代理驱动提示优化框架|
+| 1049|[baaivision/Emu](https://github.com/baaivision/Emu) |鸸鹋系列：来自BAAI的生成多模态模型|
+| 1050|[linyiLYi/snake-ai](https://github.com/linyiLYi/snake-ai) |一个能够战胜经典游戏“贪吃蛇”的人工智能代理。|
+| 1051|[eloialonso/diamond](https://github.com/eloialonso/diamond) |钻石（DIAMOND）是在扩散世界模型中训练的强化学习代理。|
+| 1052|[landing-ai/vision-agent](https://github.com/landing-ai/vision-agent) |视觉代理|
+| 1053|[olimorris/codecompanion.nvim](https://github.com/olimorris/codecompanion.nvim) |✨ 基于人工智能的编码，无缝集成于Neovim。支持Anthropic、Copilot、Gemini、Ollama、OpenAI和xAI LLMs。|
| 1054|[google/maxtext](https://github.com/google/maxtext) |一个简单、高性能且可扩展的 Jax LLM！|
| 1055|[collabora/WhisperFusion](https://github.com/collabora/WhisperFusion) |WhisperFusion借助WhisperLive和WhisperSpeech的能力，实现了与人工智能的无缝对话。|
| 1056|[naver/mast3r](https://github.com/naver/mast3r) |在3D中利用MASt3R进行图像匹配的基础|
| 1057|[lichao-sun/Mora](https://github.com/lichao-sun/Mora) |Mora：更像是通用视频生成的Sora|
| 1058|[GoogleCloudPlatform/localllm](https://github.com/GoogleCloudPlatform/localllm) |在云工作站上本地运行LLMs|
-| 1059|[TencentARC/BrushNet](https://github.com/TencentARC/BrushNet) |"BrushNet: 一种具有分解双分支扩散功能的即插即用图像修复模型"|
-| 1060|[xlang-ai/OSWorld](https://github.com/xlang-ai/OSWorld) |OSWorld：在真实计算机环境中对多模态代理进行开放式任务基准测试|
-| 1061|[SharifiZarchi/Introduction_to_Machine_Learning](https://github.com/SharifiZarchi/Introduction_to_Machine_Learning) |机器学习导论课程，供学生使用。|
+| 1059|[TencentARC/BrushNet](https://github.com/TencentARC/BrushNet) |"BrushNet: 一种具有分解双分支扩散功能的即插即用图像修复模型"|
+| 1060|[SharifiZarchi/Introduction_to_Machine_Learning](https://github.com/SharifiZarchi/Introduction_to_Machine_Learning) |机器学习导论课程，供学生使用。|
+| 1061|[xlang-ai/OSWorld](https://github.com/xlang-ai/OSWorld) |OSWorld：在真实计算机环境中对多模态代理进行开放式任务基准测试|
| 1062|[andrewnguonly/Lumos](https://github.com/andrewnguonly/Lumos) |由本地LLM提供动力的用于浏览网络的RAG LLM副驾驶。|
| 1063|[AnswerDotAI/fsdp_qlora](https://github.com/AnswerDotAI/fsdp_qlora) |使用QLoRA FSDP训练LLMs。|
| 1064|[mhamilton723/FeatUp](https://github.com/mhamilton723/FeatUp) |"FeatUp: 一种面向任何分辨率特征的模型无关框架" ICLR 2024 的官方代码|
@@ -1101,7 +1101,7 @@
| 1069|[lucidrains/self-rewarding-lm-pytorch](https://github.com/lucidrains/self-rewarding-lm-pytorch) |《自我奖励语言模型》中提出的训练框架的实施，来自MetaAI。|
| 1070|[microsoft/RD-Agent](https://github.com/microsoft/RD-Agent) |研发对提升工业生产力至关重要，特别是在人工智能时代，其中研发的核心方面主要集中在数据和模型上。我们致力于通过我们开源的研发自动化工具RD-Agent 来自动化这些高价值通用研发流程，让人工智能驱动数据驱动的人工智能。|
| 1071|[PKU-YuanGroup/MagicTime](https://github.com/PKU-YuanGroup/MagicTime) |MagicTime：时间流逝视频生成模型作为变质模拟器。|
-| 1072|[ishaan1013/sandbox](https://github.com/ishaan1013/sandbox) |一个具有人工智能副驾驶和实时协作的基于云的代码编辑环境。|
+| 1072|[ishaan1013/sandbox](https://github.com/ishaan1013/sandbox) |一个具有人工智能副驾驶和实时协作的基于云的代码编辑环境。|
| 1073|[a-real-ai/pywinassistant](https://github.com/a-real-ai/pywinassistant) |PyWinAssistant是第一个开源的大动作模型通用人工窄智能，仅使用自然语言完全控制人类用户界面。PyWinAssistant利用思维可视化来引发大型语言模型中的空间推理。|
| 1074|[microsoft/vscode-ai-toolkit](https://github.com/microsoft/vscode-ai-toolkit) |当你有机会选择坚持和放弃时，请记住：坚持是一种信念，而放弃是一种智慧。|
| 1075|[goatcorp/Dalamud](https://github.com/goatcorp/Dalamud) |FFXIV插件框架和API|
@@ -1117,12 +1117,12 @@
| 1085|[langchain-ai/langchain-extract](https://github.com/langchain-ai/langchain-extract) |你说你喜欢数据吗？|
| 1086|[unitreerobotics/unitree_rl_gym](https://github.com/unitreerobotics/unitree_rl_gym) ||
| 1087|[PaddlePaddle/PaddleHelix](https://github.com/PaddlePaddle/PaddleHelix) |生物计算平台具有大规模表示学习和多任务深度学习功能。|
-| 1088|[skills/copilot-codespaces-vscode](https://github.com/skills/copilot-codespaces-vscode) |使用 GitHub Copilot 和 VS Code 的 AI 强力代码建议进行开发。|
+| 1088|[skills/copilot-codespaces-vscode](https://github.com/skills/copilot-codespaces-vscode) |使用 GitHub Copilot 和 VS Code 的 AI 强力代码建议进行开发。|
| 1089|[zju3dv/EasyVolcap](https://github.com/zju3dv/EasyVolcap) |SIGGRAPH Asia 2023（技术交流）EasyVolcap：加速神经体积视频研究|
| 1090|[likejazz/llama3.np](https://github.com/likejazz/llama3.np) |llama3.np是Llama 3模型的纯NumPy实现。|
-| 1091|[myshell-ai/JetMoE](https://github.com/myshell-ai/JetMoE) |用0.1百万美元实现LLaMA2性能|
-| 1092|[stephansturges/WALDO](https://github.com/stephansturges/WALDO) |低空可探测物体位置确认。无人机开源人工智能的最新技术！|
-| 1093|[mustafaaljadery/gemma-2B-10M](https://github.com/mustafaaljadery/gemma-2B-10M) |Gemma 2B使用Infini-attention，具有10M的上下文长度。|
+|⭐ 1091|[stephansturges/WALDO](https://github.com/stephansturges/WALDO) |低空可探测物体位置确认。无人机开源人工智能的最新技术！|
+| 1092|[myshell-ai/JetMoE](https://github.com/myshell-ai/JetMoE) |用0.1百万美元实现LLaMA2性能|
+| 1093|[mustafaaljadery/gemma-2B-10M](https://github.com/mustafaaljadery/gemma-2B-10M) |Gemma 2B使用Infini-attention，具有10M的上下文长度。|
**说明:**
| 符号| 规则 |