Source: https://seerepo.com/uses/scikit-learn
Markdown source: https://seerepo.com/uses/scikit-learn.md
Description: 12 public repos that SeeRepo read use scikit-learn. It's used most with matplotlib, torch, and pillow.

# Open source repos that use scikit-learn

12 public repos that SeeRepo read use scikit-learn. It's used most with matplotlib, torch, and pillow.

## Used most with

- matplotlib: 4 repos
- torch: 4 repos
- pillow: 4 repos
- psutil: 3 repos
- TensorFlow: 3 repos
- torchvision: 3 repos
- transformers: 3 repos
- jinja2: 2 repos

## The repos, by stars

1. [pytorch/pytorch](https://seerepo.com/r/pytorch/pytorch): Python · 105,120 stars · 0.3% signed by AI — Tensors and Dynamic neural networks in Python with strong GPU acceleration
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. [tensorflow/models](https://seerepo.com/r/tensorflow/models): Python · 77,633 stars — Models and examples built with TensorFlow
5. [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.
6. [keras-team/keras](https://seerepo.com/r/keras-team/keras): Python · 64,419 stars · 0.5% signed by AI — Deep Learning for humans
7. [pathwaycom/pathway](https://seerepo.com/r/pathwaycom/pathway): Rust · 62,021 stars — Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
8. [pyg-team/pytorch_geometric](https://seerepo.com/r/pyg-team/pytorch_geometric): Python · 24,133 stars — Graph Neural Network Library for PyTorch
9. [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.
10. [microsoft/unilm](https://seerepo.com/r/microsoft/unilm): Python · 22,240 stars — Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
11. [MLEveryday/100-Days-Of-ML-Code](https://seerepo.com/r/MLEveryday/100-Days-Of-ML-Code): Python · 22,231 stars — 100-Days-Of-ML-Code中文版
12. [recommenders-team/recommenders](https://seerepo.com/r/recommenders-team/recommenders): Python · 21,976 stars — Best Practices on Recommendation Systems

## Frequently asked questions

### What is the most popular open source repo that uses scikit-learn?

pytorch/pytorch, with 105,120 stars on GitHub.

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

### What other technologies is scikit-learn used with?

With matplotlib (4), torch (4), pillow (4), psutil (3), and TensorFlow (3), out of the 12 repos that use it.

### What languages are the repos that use scikit-learn written in?

Python (11) and Rust (1).

### How many repos that use scikit-learn have commits signed by AI?

6 of the 12; 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.