labmlai/annotated_deep_learning_paper_implementations
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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This repository contains 60+ annotated implementations and tutorials of influential deep learning papers with detailed side-by-side explanations. It covers major architectures including transformers, GANs, reinforcement learning algorithms, optimizers, and other foundational deep learning concepts. The implementations serve as educational resources for understanding complex research papers through code and commentary.
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- Project created
- Aug 25, 2020
- Forked
- Nov 4, 2025
- Your last push
- 27 days ago
- Upstream last push
- 2 months ago
- Tracked since
- Mar 17, 2026
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