Source: https://seerepo.com/r/labmlai/annotated_deep_learning_paper_implementations
Markdown source: https://seerepo.com/r/labmlai/annotated_deep_learning_paper_implementations.md
Description: labmlai/annotated_deep_learning_paper_implementations is a Python repo with 40,162 lines written.

# What's inside labmlai/annotated_deep_learning_paper_implementations

labmlai/annotated_deep_learning_paper_implementations is a Python repo with 40,162 lines written. SeeRepo read annotated_deep_learning_paper_implementations and doesn't recognize any of its technologies yet.

Its description on GitHub: “🧑‍🏫 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, ... 🧠”

Python · MIT · 67,684 stars · GitHub: https://github.com/labmlai/annotated_deep_learning_paper_implementations

Read on November 5, 2026, at commit db59a04.

## More on this repo

- [What is annotated_deep_learning_paper_implementations built with?](https://seerepo.com/r/labmlai/annotated_deep_learning_paper_implementations/built): SeeRepo read annotated_deep_learning_paper_implementations and doesn't recognize any of its technologies yet.
- [How much of annotated_deep_learning_paper_implementations did AI write?](https://seerepo.com/r/labmlai/annotated_deep_learning_paper_implementations/ai): No AI tool signed any of the 821 commits of annotated_deep_learning_paper_implementations.

## In figures

- 40,162 lines written: The ones people and agents wrote: product, tests, schemas and tooling. Generated code doesn’t count.
- 213 files: The same as the lines: product, tests, schemas and tooling. What’s generated doesn’t count.
- 2 test files: The files that test the code.
- 7 technologies: Each service with the file and line that prove it.

SeeRepo read the facts in its code and kept none of it. AI only helps sort its packages and folders by their names, and never sees its code.

## Frequently asked questions

### What is labmlai/annotated_deep_learning_paper_implementations?

labmlai/annotated_deep_learning_paper_implementations is a Python repo with 40,162 lines written. Its description on GitHub: “🧑‍🏫 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 proof: [its page on GitHub](https://github.com/labmlai/annotated_deep_learning_paper_implementations)

### What is annotated_deep_learning_paper_implementations built with?

SeeRepo read annotated_deep_learning_paper_implementations and doesn't recognize any of its technologies yet.

The proof: [each service with its file and line](https://seerepo.com/r/labmlai/annotated_deep_learning_paper_implementations/built)

### What license does annotated_deep_learning_paper_implementations have?

annotated_deep_learning_paper_implementations is released under the MIT license.

The proof: [its page on GitHub](https://github.com/labmlai/annotated_deep_learning_paper_implementations)

### How many stars does annotated_deep_learning_paper_implementations have on GitHub?

annotated_deep_learning_paper_implementations had 67,684 stars on GitHub on November 5, 2026.

The proof: [its page on GitHub](https://github.com/labmlai/annotated_deep_learning_paper_implementations)

## Add this badge to your README

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```markdown
[![labmlai/annotated_deep_learning_paper_implementations on SeeRepo](https://seerepo.com/badge/labmlai/annotated_deep_learning_paper_implementations.svg)](https://seerepo.com/r/labmlai/annotated_deep_learning_paper_implementations?de=insignia)
```

## What is your repo built with?

Any public repo, with no account: https://seerepo.com/r/owner/repo/built, with the owner and name it has on GitHub.