annotated_deep_learning_paper_implementations
About
🧑🏫 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, ... 🧠
⚡ Quick Start
pip install annotated_deep_learning_paper_implementations🏷️ Topics
💻 Supported Platforms
📋 Technical Details
- Repository
- labmlai/annotated_deep_learning_paper_implementations
- Language
- Python
- License
- MIT
- Stars
- 67,051
- Category
- text generation
- Difficulty
- intermediate
- Last Updated
- 2026-01-22
- Platforms
- mac
Frequently Asked Questions About annotated_deep_learning_paper_implementations
What is 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, ... 🧠
How do I install annotated_deep_learning_paper_implementations?
Run: pip install annotated_deep_learning_paper_implementations
What are the system requirements for annotated_deep_learning_paper_implementations?
annotated_deep_learning_paper_implementations supports mac. It is written in Python and is best suited for intermediate-level users. The repository has 67,051+ stars on GitHub and is licensed under MIT.