mrdbourke/pytorch-deep-learning

PyTorch tutorials.

PyTorch Tutorial for Deep Learning Researchers

The fastai book, published as Jupyter Notebooks

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

A resource for learning about Machine learning & Deep Learning

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

Lab Materials for MIT 6.S191: Introduction to Deep Learning