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PyTorch implementation of normalizing flow models
Modularized Implementation of Deep RL Algorithms in PyTorch
Implementation of papers in 100 lines of code.
Normalizing flows in PyTorch. Current intended use is education not production.
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Natural Language Processing Tutorial for Deep Learning Researchers
This presents an implementation of a Generative Pre-trained Transformer (GPT) model, focusing on comparing the performance and effectiveness of Kolmogorov-Arnold Networks (KANs) and traditional mul…
This project focuses on classifying various audio recordings using CNNs
Best practices & guides on how to write distributed pytorch training code
The book every data scientist needs on their desk.
A collection of papers on Diffusion for Image-to-Image Translation and Style Transfer
Anton's OpenGL 4 Tutorials book - Demo Code
ALIEN is a CUDA-powered artificial life simulation program.
A curated list of awesome high performance computing resources
Curated list of open-source quantum software projects.
A curated list of awesome vision and language resources for earth observation.
ClimODE: Climate and Weather Forecasting With Physics-informed Neural ODEs
A curated list of awesome Physics Informed Neural Network, projects and communities.
Water level prediction for a reservoir comparing uni- and multivariate models (ARIMA, Prophet, CatBoost Trees and LSTM) and assessing important features.
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…
Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch