/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 LanguageJupyter NotebookMIT LicenseMIT

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