Source: https://seerepo.com/compare/labmlai/annotated_deep_learning_paper_implementations/vs/vllm-project/vllm
Markdown source: https://seerepo.com/compare/labmlai/annotated_deep_learning_paper_implementations/vs/vllm-project/vllm.md
Description: annotated_deep_learning_paper_implementations and vllm share 4 technologies: torch, torchvision, einops, and pillow. Both are written in Python.

# annotated_deep_learning_paper_implementations vs vllm

annotated_deep_learning_paper_implementations and vllm share 4 technologies: torch, torchvision, einops, 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, ... 🧠
- [vllm-project/vllm](https://seerepo.com/r/vllm-project/vllm): A high-throughput and memory-efficient inference and serving engine for LLMs

## What they share and what sets them apart

- In common: torch, torchvision, einops, pillow
- Only in annotated_deep_learning_paper_implementations: matplotlib, fairscale, opencv-python
- Only in vllm: FastAPI, axum, gitdb, pyzmq, Hugging Face, Tokio, starlette, Ray, AIOHTTP, tower, mkdocs-material, indicatif, NVIDIA, OpenAI, peft, quack-kernels, sentencepiece, transformers, safetensors, triton, datasets, torchaudio, MCP, tokenizers, tiktoken, markdown, markupsafe, pymdown-extensions, image, jinja2, Pydantic, msgspec, jsonschema, pydantic-core, opentelemetry-api, python-json-logger, tracing, prometheus-client, psutil, tracing-subscriber, OpenTelemetry, opentelemetry-sdk, prometheus-fastapi-instrumentator

## Side by side

| | annotated_deep_learning_paper_implementations | vllm |
|---|---|---|
| Size | 40,162 lines written, 213 code files | 2,375,117 lines written, 3,289 code files |
| Who writes it | 0% of its commits signed by AI | 12.8% of its commits signed by AI. With Claude Code, Codex, Gemini CLI, Cursor, GitHub Copilot, Devin, Mistral Vibe, CodeRabbit, Factory, and Qwen Code |
| Activity | Last push November 2, 2026, 821 commits, 67,684 stars | Last push November 4, 2026, 24,593 commits, 96,302 stars |
| Tests | 2 test files. 1.9% of its code files have a test that imports them | 2,419 test files. 60.2% 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 vllm?

vllm, with 2,375,117 lines written; annotated_deep_learning_paper_implementations has 40,162.

The proof: [vllm-project/vllm's code at commit 75f6761](https://github.com/vllm-project/vllm/tree/75f67614971a44050140e3422c1a65fe5004a72b)

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

vllm, with 96,302 stars; annotated_deep_learning_paper_implementations has 67,684.

The proof: [vllm-project/vllm on GitHub](https://github.com/vllm-project/vllm)

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

vllm, with 2,419 test files; annotated_deep_learning_paper_implementations has 2.

The proof: [vllm-project/vllm's code at commit 75f6761](https://github.com/vllm-project/vllm/tree/75f67614971a44050140e3422c1a65fe5004a72b)

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

vllm: its last push was on November 4, 2026, and annotated_deep_learning_paper_implementations's on November 2, 2026.

The proof: [vllm-project/vllm's commits on GitHub](https://github.com/vllm-project/vllm/commits)

### Which has more commits signed by AI, annotated_deep_learning_paper_implementations or vllm?

vllm: an AI signed 12.8% of its commits, with Claude Code, Codex, Gemini CLI, Cursor, GitHub Copilot, Devin, Mistral Vibe, CodeRabbit, Factory, and Qwen Code.

The proof: [the commits each tool signed in vllm-project/vllm](https://seerepo.com/r/vllm-project/vllm/ai)

## 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)
- vllm-project/vllm: Read on November 4, 2026, at commit 75f6761 (https://github.com/vllm-project/vllm/tree/75f67614971a44050140e3422c1a65fe5004a72b)

## 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.