🧑‍🏫 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, ... 🧠
Updated 2026-01-22 12:25:59 +08:00
Guide to using pre-trained large language models of source code
Updated 2023-05-09 21:07:33 +08:00
PyTorch Tutorial for Deep Learning Researchers
Updated 2020-07-06 11:36:38 +08:00