60+ annotated deep learning paper implementations in PyTorch, updated weekly
ZabihullahAtal · x · 2026-09-05
The list features labml.ai's Annotated Deep Learning Paper Implementations: 60+ papers reimplemented in simple, well-documented PyTorch — covering Transformers (original, XL, Switch, Feedback, ViT…), optimizers (Adam, AdaBelief, Sophia…), GANs (CycleGAN, StyleGAN2…), RL (PPO, DQN), CapsNet and distillation — with side-by-side formatted notes for learning. The repo is actively maintained with new implementations added almost weekly. The thread also mentions Made With ML (data-to-deployment MLOps) and Mathematics for Machine Learning.
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