Source: https://seerepo.com/compare/labmlai/annotated_deep_learning_paper_implementations/vs/microsoft/unilm
Markdown source: https://seerepo.com/compare/labmlai/annotated_deep_learning_paper_implementations/vs/microsoft/unilm.md
Description: annotated_deep_learning_paper_implementations and unilm share 5 technologies: torch, torchvision, einops, opencv-python, and pillow. Both are written in Python.

# annotated_deep_learning_paper_implementations vs unilm

annotated_deep_learning_paper_implementations and unilm share 5 technologies: torch, torchvision, einops, opencv-python, and pillow. Both are written in Python.

- [labmlai/annotated_deep_learning_paper_implementations](https://seerepo.com/r/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, ... 🧠
- [microsoft/unilm](https://seerepo.com/r/microsoft/unilm): Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

## What they share and what sets them apart

- In common: torch, torchvision, einops, opencv-python, pillow
- Only in annotated_deep_learning_paper_implementations: matplotlib, fairscale
- Only in unilm: FastAPI, Flask, pyarrow, webdataset, OpenAI, Gradio, scikit-learn, transformers, timm, datasets, sacrebleu, accelerate, sentencepiece, diffusers, deepspeed, torchaudio, tokenizers, bitsandbytes, nltk, triton, tiktoken, vLLM, peft, torchmetrics, pycocotools, lxml, boto3

## Side by side

| | annotated_deep_learning_paper_implementations | unilm |
|---|---|---|
| Size | 40,162 lines written, 213 code files | 769,203 lines written, 2,555 code files |
| Who writes it | 0% of its commits signed by AI | 0% of its commits signed by AI |
| Activity | Last push November 2, 2026, 821 commits, 67,684 stars | Last push September 21, 2026, 1,092 commits, 22,240 stars |
| Tests | 2 test files. 1.9% of its code files have a test that imports them | 163 test files. 5.1% of its code files have a test that imports them |

- Size: Lines written by people and agents, without generated ones; code files, without tests.
- Who writes it: A commit counts as AI's when it carries its signature: a Co-Authored-By line, its author name or the merge of its branch.
- Activity: From GitHub and its history, on the day SeeRepo read it.
- Tests: The files that test the code, and the share of code files a test imports.

## Frequently asked questions

### Which is bigger, annotated_deep_learning_paper_implementations or unilm?

unilm, with 769,203 lines written; annotated_deep_learning_paper_implementations has 40,162.

The proof: [microsoft/unilm's code at commit 31c5b90](https://github.com/microsoft/unilm/tree/31c5b904ca1bf2afb4c234a6675c683a4e5fc7cd)

### Which has more GitHub stars, annotated_deep_learning_paper_implementations or unilm?

annotated_deep_learning_paper_implementations, with 67,684 stars; unilm has 22,240.

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

### Which has more tests, annotated_deep_learning_paper_implementations or unilm?

unilm, with 163 test files; annotated_deep_learning_paper_implementations has 2.

The proof: [microsoft/unilm's code at commit 31c5b90](https://github.com/microsoft/unilm/tree/31c5b904ca1bf2afb4c234a6675c683a4e5fc7cd)

### Which was updated more recently, annotated_deep_learning_paper_implementations or unilm?

annotated_deep_learning_paper_implementations: its last push was on November 2, 2026, and unilm's on September 21, 2026.

The proof: [labmlai/annotated_deep_learning_paper_implementations's commits on GitHub](https://github.com/labmlai/annotated_deep_learning_paper_implementations/commits)

## Sources

- labmlai/annotated_deep_learning_paper_implementations: Read on November 5, 2026, at commit db59a04 (https://github.com/labmlai/annotated_deep_learning_paper_implementations/tree/db59a04a8a2c6af922f1656f8c0fd113dd9a51b8)
- microsoft/unilm: Read on November 5, 2026, at commit 31c5b90 (https://github.com/microsoft/unilm/tree/31c5b904ca1bf2afb4c234a6675c683a4e5fc7cd)

## 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.