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: 13 days 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 (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2024-08-24T09:18:59.000Z (9 months ago)
- Last Synced: 2025-05-05T14:53:57.917Z (20 days 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: 147 MB
- Stars: 60,457
- Watchers: 472
- Forks: 6,102
- Open Issues: 36
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Metadata Files:
- Readme: readme.md
- Funding: .github/FUNDING.yml
- License: license
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