https://github.com/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, ... 🧠
https://github.com/labmlai/annotated_deep_learning_paper_implementations

attention deep-learning deep-learning-tutorial gan literate-programming lora machine-learning neural-networks optimizers pytorch reinforcement-learning transformer transformers

Last synced: about 1 month ago
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🧑‍🏫 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, ... 🧠

• Host: GitHub
• URL: https://github.com/labmlai/annotated_deep_learning_paper_implementations
• Owner: labmlai
• License: mit
• Created: 2020-08-25T02:29:34.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2025-11-11T09:22:41.000Z (about 1 month ago)
• Last Synced: 2025-11-16T01:03:40.414Z (about 1 month ago)
• Topics: attention, deep-learning, deep-learning-tutorial, gan, literate-programming, lora, machine-learning, neural-networks, optimizers, pytorch, reinforcement-learning, transformer, transformers
• Language: Python
• Homepage: https://nn.labml.ai
• Size: 149 MB
• Stars: 64,302
• Watchers: 485
• Forks: 6,517
• Open Issues: 27
• Metadata Files:
  • Readme: readme.md
  • Funding: .github/FUNDING.yml
  • License: license

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