annotated_deep_learning_paper_implementations
Annotated deep learning paper implementations with side-by-side notes.
About 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, ... 🧠
✅ Pros
- + Comprehensive coverage of deep learning papers
- + Includes side-by-side explanatory notes
- + Covers a wide range of models and techniques
⚠️ Cons
- - No dedicated desktop or mobile apps
- - May require prior ML knowledge to fully utilize
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Quick Info
- Pricing
- Free
- License
- MIT
- Platforms
- web
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