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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*Note**: use the Annotated Implementation Skill with coding agents to implement any paper. This is a collection of simple PyTorch implementations of neural networks and related algorithms. These implementations are documented with explanations, The website renders these as side-by-side formatted notes. We believe these would help you understand these algorithms better. We are actively maintaining this repo and adding new implementations almost weekly. for updates. JAX implementation Multi-headed attention Triton Flash Attention Transformer building blocks Transformer XL Relative multi-headed a…

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attention deep-learning deep-learning-tutorial gan literate-programming lora machine-learning neural-networks optimizers pytorch reinforcement-learning transformer

labmlai/annotated_deep_learning_paper_implementations

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