Source: https://seerepo.com/uses/datasets
Markdown source: https://seerepo.com/uses/datasets.md
Description: 11 public repos that SeeRepo read use datasets. It's used most with transformers, FastAPI, and accelerate.

# Open source repos that use datasets

11 public repos that SeeRepo read use datasets. It's used most with transformers, FastAPI, and accelerate.

## Used most with

- transformers: 6 repos
- FastAPI: 5 repos
- accelerate: 5 repos
- uvicorn: 4 repos
- OpenAI: 4 repos
- torch: 4 repos
- torchvision: 4 repos
- sentencepiece: 3 repos

## The repos, by stars

1. [vllm-project/vllm](https://seerepo.com/r/vllm-project/vllm): Python · 96,302 stars · 12.8% signed by AI — A high-throughput and memory-efficient inference and serving engine for LLMs
2. [datawhalechina/hello-agents](https://seerepo.com/r/datawhalechina/hello-agents): Python · 86,039 stars · 2.4% signed by AI — 📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程
3. [unslothai/unsloth](https://seerepo.com/r/unslothai/unsloth): Python · 79,050 stars · 1% signed by AI — Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4.1, MiniMax-H3, Gemma 4, FLUX and more.
4. [rohitg00/ai-engineering-from-scratch](https://seerepo.com/r/rohitg00/ai-engineering-from-scratch): Python · 76,859 stars · 0.8% signed by AI — Learn AI Engineering! Learn it. Build it. Ship it for others.
5. [hiyouga/LlamaFactory](https://seerepo.com/r/hiyouga/LlamaFactory): Python · 75,890 stars · 1.6% signed by AI — Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
6. [verl-project/verl](https://seerepo.com/r/verl-project/verl): Python · 24,128 stars · 9.2% signed by AI — verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework 
7. [mlc-ai/mlc-llm](https://seerepo.com/r/mlc-ai/mlc-llm): Python · 23,302 stars · 0.2% signed by AI — Universal LLM Deployment Engine with ML Compilation
8. [comet-ml/opik](https://seerepo.com/r/comet-ml/opik): Python · 23,166 stars · 19.7% signed by AI — Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
9. [microsoft/unilm](https://seerepo.com/r/microsoft/unilm): Python · 22,240 stars — Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
10. [google/skills](https://seerepo.com/r/google/skills): HTML · 22,028 stars — Agent Skills for Google products and technologies
11. [huggingface/peft](https://seerepo.com/r/huggingface/peft): Python · 21,873 stars · 0.1% signed by AI — 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

## Frequently asked questions

### What is the most popular open source repo that uses datasets?

vllm-project/vllm, with 96,302 stars on GitHub.

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

### What other technologies is datasets used with?

With transformers (6), FastAPI (5), accelerate (5), uvicorn (4), and OpenAI (4), out of the 11 repos that use it.

### What languages are the repos that use datasets written in?

Python (10) and HTML (1).

### How many repos that use datasets have commits signed by AI?

9 of the 11; the most, comet-ml/opik, with 19.7% of its commits.

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

## 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.