Starred repositories
📚 Freely available programming books
An opinionated list of Python frameworks, libraries, tools, and resources.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Graph Neural Network Library for PyTorch
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Open source code for AlphaFold 2.
An open access book on scientific visualization using python and matplotlib
Practical Python Programming (course by @dabeaz)
UltiSnips - The ultimate snippet solution for Vim. Send pull requests to SirVer/ultisnips!
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Google AI 2018 BERT pytorch implementation
NVIDIA's Deep Imagination Team's PyTorch Library
Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
An open-access book on numpy vectorization techniques, Nicolas P. Rougier, 2017
Some custom dataset examples for PyTorch
Generic template to bootstrap your PyTorch project.