GitHub / labmlai / annotated_deep_learning_paper_implementations

🧑‍🏫 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, ... 🧠

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Commits: 727
Authors: 33
Mean commits per author: 22.03
Development Distribution Score: 0.081
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/labmlai/annotated_deep_learning_paper_implementations

Topics: attention, deep-learning, deep-learning-tutorial, gan, literate-programming, machine-learning, neural-networks, optimizers, pytorch, reinforcement-learning, transformer, transformers

Funding links: https://github.com/sponsors/labmlai

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