fastai/fastbook

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

PyTorch tutorials.

A collection of various deep learning architectures, models, and tips

✅（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】

Lab Materials for MIT 6.S191: Introduction to 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, ... 🧠