labmlai/annotated_deep_learning_paper_implementations

项目介绍与用途

「labmlai/annotated_deep_learning_paper_implementations」是由 labmlai 维护、主要使用 Python 开发的开源项目。🧑‍🏫 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, ... 🧠。目前该项目在 GitHub 上累计获得 67.7k 个 Star、6.8k 次 Fork（今日新增 18 Star）。如果你关注 Python 方向的开源生态，它值得收藏、学习与参考。

项目简介

🧑‍🏫 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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