/annotated_deep_learning_paper_implementations

๐Ÿง‘โ€๐Ÿซ 60+ Implementations/tutorials of deep learning papers with side-by-side notes ๐Ÿ“; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ๐ŸŽฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐Ÿง 

Primary LanguagePythonMIT LicenseMIT

Issues