# labmlai/annotated\_deep\_learning\_paper\_implementations

<https://repo.masters-masters.com/en/repos/labmlai/annotated_deep_learning_paper_implementations>

[Home](https://repo.masters-masters.com/en) › [labmlai](https://repo.masters-masters.com/en/owners/labmlai) › [annotated\_deep\_learning\_paper\_implementations](https://repo.masters-masters.com/en/repos/labmlai/annotated_deep_learning_paper_implementations)

labmlai/annotated\_deep\_learning\_paper\_implementations has 67,640 stars on GitHub. Its RepoMasters card: LTS tier. 🧑‍🏫 60+ Implementations/tutorials of deep…

| Field | Value |
| --- | --- |
| Owner | [labmlai](https://repo.masters-masters.com/en/owners/labmlai) |
| Stars | 67,640 |
| Forks | 6,785 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2020 |
| Topics | deep-learning, deep-learning-tutorial, pytorch, gan, transformers, reinforcement-learning, optimizers, neural-networks, transformer, machine-learning |
| Tier | [LTS (20,000 ★ and up)](https://repo.masters-masters.com/en/ranks/masterpiece) |
| View on GitHub | [labmlai/annotated\_deep\_learning\_paper\_implementations](https://github.com/labmlai/annotated_deep_learning_paper_implementations) |

## Repository

🧑‍🏫 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, ... 🧠

The tier for repos with 20,000 ★ and up. Published odds per card pulled: 0.1%. Rarity: Legendary.

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