2018-08-31 Tracking the most popular Github repos that are generated within:
- trekhleb/learn-python: 📚 Playground and cheatsheet for learning Python
- mafintosh/turbo-json-parse: Turbocharged JSON.parse for type stable JSON data
- ruanyf/book-computer-networks: Free E-Book: Computer Networks - A Systems Approach
- hq450/fancyss: fancyss is a project providing tools to across the GFW on asuswrt/merlin based router.
- k0kubun/sqldef: Idempotent MySQL/PostgreSQL schema management by SQL
- ultralytics/yolov3: YOLOv3: Training and inference in PyTorch
- mazen160/struts-pwn_CVE-2018-11776: An exploit for Apache Struts CVE-2018-11776
- kennethreitz/pytheory: Music Theory for Humans.
- mercari/Mew: The framework that support making MicroViewController.
- Rich-Harris/shimport: Use JavaScript modules in all browsers, including dynamic imports
- danielhanchen/hyperlearn: 50%+ Faster, 50%+ less RAM usage, GPU support re-written Sklearn, Statsmodels combo with new novel algorithms.
- nshalabi/ATTACK-Tools: Utilities for MITRE™ ATT&CK
- nitin42/react-color-extractor: A React component which extracts colors from an image
- kendricktan/ledger-analytics: Easy to use analytics/visualization tool for ledger-cli
- codemirror/codemirror.next: None
- s1kr10s/Apache-Struts-v3: None
- g3rv4/BitterSweet: None
- trekhleb/learn-python: 📚 Playground and cheatsheet for learning Python
- LambdaSchool/CS14-Git-Intro: This is for CS14 to learn how to use basic git commands
- ShivamPanchal/Complete-CheatSheets: This repo contains all the cheatsheets you need to keep handy, I will add more soon.
- hq450/fancyss: fancyss is a project providing tools to across the GFW on asuswrt/merlin based router.
- marks1024/exercise-json-361: None
- mazen160/struts-pwn_CVE-2018-11776: An exploit for Apache Struts CVE-2018-11776
- zhouxudong666/-: None
- martinbregnhoi/personliste-E18: None
- davinci-ao/git-introductie-18: None
- s1kr10s/Apache-Struts-v3: None
- ruanyf/book-computer-networks: Free E-Book: Computer Networks - A Systems Approach
- openstack-kr/contributhon-2018-knu: Open Source Experience Camp (KNU, 2018)
- nshalabi/ATTACK-Tools: Utilities for MITRE™ ATT&CK
- SAREC-Lab/SoftwareEngineering2018: None
- heyushuo/mpvue-shop-node: mpvue仿网易严选小程序服务端
- felixrieseberg/windows95: 💩🚀 Windows 95 in Electron. Runs on macOS, Linux, and Windows.
- google/filament: Filament is a real-time physically based rendering engine for Android, Windows, Linux and macOS
- NVIDIA/vid2vid: Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.
- checkly/puppeteer-recorder: Puppeteer recorder is a Chrome extension that records your browser interactions and generates a Puppeteer script.
- trimstray/test-your-sysadmin-skills: A collection of *nix Sysadmin Test Questions and Answers for Interview/Exam (2018 Edition).
- Microsoft/FASTER: Fast key-value store from Microsoft Research
- astorfi/Deep-Learning-World: 📡 Organized Resources for Deep Learning Researchers and Developers
- afshinea/stanford-cs-229-machine-learning: VIP cheatsheets for Stanford's CS 229 Machine Learning
- JessYanCoding/AndroidAutoSize: A low-cost Android screen adaptation solution (今日头条屏幕适配方案终极版，一个极低成本的 Android 屏幕适配方案).
- zeeshanu/dumper.js: A better and pretty variable inspector for your Node.js applications
- xoreaxeaxeax/rosenbridge: Hardware backdoors in some x86 CPUs
- pomber/code-surfer: React component for scrolling, zooming and highlighting code <🏄/>
- haskellcamargo/sclack: The best CLI client for Slack, because everything is terrible!
- ra1028/DifferenceKit: 💻 A fast and flexible O(n) difference algorithm framework for Swift collection.
- thisredone/rb: Turns Ruby into a versatile command line utility
- buzzfeed/sso: sso, aka S.S.Octopus, aka octoboi, is a single sign-on solution for securing internal services
- biswaz/rescuekerala: Send PRs and issues to https://github.com/IEEEKeralaSection/rescuekerala/. Recreate your issues pls
- felixrieseberg/windows95: 💩🚀 Windows 95 in Electron. Runs on macOS, Linux, and Windows.
- afshinea/stanford-cs-229-machine-learning: VIP cheatsheets for Stanford's CS 229 Machine Learning
- 4jy/Source-SnapChat: Source Code for SnapChat
- NVIDIA/vid2vid: Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.
- astorfi/Deep-Learning-World: 📡 Organized Resources for Deep Learning Researchers and Developers
- JessYanCoding/AndroidAutoSize: A low-cost Android screen adaptation solution (今日头条屏幕适配方案终极版，一个极低成本的 Android 屏幕适配方案).
- trimstray/test-your-sysadmin-skills: A collection of *nix Sysadmin Test Questions and Answers for Interview/Exam (2018 Edition).
- google/filament: Filament is a real-time physically based rendering engine for Android, Windows, Linux and macOS
- schmidtp0740/react-todolist: None
- F8LEFT/FUPK3: 演示视频https://pan.baidu.com/s/1HH_-TQGca1NLoSqzvOPB3Q 密码：izm3
- xoreaxeaxeax/rosenbridge: Hardware backdoors in some x86 CPUs
- g3rv4/BitterSweet: None
- HinamoreCh4n/Source-SCCamera: None
- MachineLearning100/100-Days-Of-ML-Code: 100-Days-Of-ML-Code中文版
- Microsoft/FASTER: Fast key-value store from Microsoft Research
- Avik-Jain/100-Days-Of-ML-Code: 100 Days of ML Coding
- felixrieseberg/windows95: 💩🚀 Windows 95 in Electron. Runs on macOS, Linux, and Windows.
- FiloSottile/mkcert: A simple zero-config tool to make locally trusted development certificates with any names you'd like.
- dylanaraps/pure-bash-bible: 📖 A collection of pure bash alternatives to external processes.
- adam-golab/react-developer-roadmap: Roadmap to becoming a React developer in 2018
- thedaviddias/Front-End-Performance-Checklist: 🎮 The only Front-End Performance Checklist that runs faster than the others
- DovAmir/awesome-design-patterns: A curated list of software and architecture related design patterns.
- GoogleChromeLabs/ndb: ndb is an improved debugging experience for Node.js, enabled by Chrome DevTools
- nbedos/termtosvg: Record terminal sessions as SVG animations
- sebastianruder/NLP-progress: Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
- faressoft/terminalizer: 🦄 Record your terminal and generate animated gif images
- fuckcqcs/fuckcqcs: 14小时
- jxnblk/mdx-deck:
♠️ MDX-based presentation decks - dylanbeattie/rockstar: The Rockstar programming language specification
- upend/IF_MS_BUYS_GITHUB_IMMA_OUT: GitHub has sold us out. Time to get out.
- google/filament: Filament is a real-time physically based rendering engine for Android, Windows, Linux and macOS
- Avik-Jain/100-Days-Of-ML-Code: 100 Days of ML Coding
- fuckcqcs/fuckcqcs: 14小时
- sebastianruder/NLP-progress: Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
- adam-golab/react-developer-roadmap: Roadmap to becoming a React developer in 2018
- zeit/now-github-starter: Starter project to demonstrate a project whose pull requests get automatically deployed
- biswaz/rescuekerala: Send PRs and issues to https://github.com/IEEEKeralaSection/rescuekerala/. Recreate your issues pls
- 1millionwomentotech/toolkitten: A toolkit for #1millionwomentotech community.
- felixrieseberg/windows95: 💩🚀 Windows 95 in Electron. Runs on macOS, Linux, and Windows.
- thedaviddias/Front-End-Performance-Checklist: 🎮 The only Front-End Performance Checklist that runs faster than the others
- dylanaraps/pure-bash-bible: 📖 A collection of pure bash alternatives to external processes.
- nasa-jpl/open-source-rover: A build-it-yourself, 6-wheel rover based on the rovers on Mars!
- imhuay/Algorithm_Interview_Notes-Chinese: 2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记
- DovAmir/awesome-design-patterns: A curated list of software and architecture related design patterns.
- jonasschmedtmann/complete-javascript-course: Starter files, final projects and FAQ for my Complete JavaScript course
- facebookresearch/DensePose: A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
- XiaoMi/mace: MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.