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, ... 🧠

Jupyter NotebookPythonMakefilemachine-learningreinforcement-learningdeep-learningtransformerspytorchtransformerganneural-networksliterate-programmingattentiondeep-learning-tutorialoptimizers
This is stars and forks stats for /labmlai/annotated_deep_learning_paper_implementations repository. As of 20 Apr, 2024 this repository has 36830 stars and 3844 forks.

labml.ai Deep Learning Paper Implementations 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. Paper Implementations ✨ Transformers Multi-headed attention Transformer building...
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