/annotated_deep_learning_paper_implementations

🧠 Implementations/tutorials of deep learning papers with side-by-side notes; including transformers (original, xl, switch, feedback, vit), optimizers(adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), reinforcement learning (ppo, dqn), capsnet, distillation, etc.

Primary LanguageJupyter NotebookMIT LicenseMIT

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