labmlai
annotated_deep_learning_paper_implementations
深度学习这是一个深度学习论文的代码实现合集，用 Python 逐行重写并配注释，帮开发者读懂论文里的模型与算法。最典型的用法是打开某个 Transformer 或优化器的实现，对照侧边注释理解每一行代码。
查看 GitHub 原始描述（英文）
🧑🏫 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, ... 🧠
#attention#deep-learning#deep-learning-tutorial#gan#literate-programming#lora#machine-learning#neural-networks#optimizers#pytorch#reinforcement-learning#transformer#transformers
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