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, ... 🧠
- deep-learning
- deep-learning-tutorial
- pytorch
- gan
- transformers
- reinforcement-learning
- optimizers
- neural-networks
- transformer
- machine-learning
- attention
- literate-programming
- lora
- Stars
- 67,654
- Forks
- 6,788
- + today
- +1
- Created
- 6y
Ranking data as of November 2, 2026 (UTC).
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Overview
🧑🏫 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, ... 🧠 It ranks #2421 on GitTiger, gaining +1 star on November 2, 2026 (UTC).
The project is written in Python and has 6,788 forks. It was created 6y ago.
git clone https://github.com/labmlai/annotated_deep_learning_paper_implementations.git
cd annotated_deep_learning_paper_implementations
# see README for setup