datawhalechina/torch-rechub

A Lighting Pytorch Framework for Recommendation Models (PyTorch推荐算法框架), Easy-to-use and Easy-to-extend. https://datawhalechina.github.io/torch-rechub/

77
/ 100
Verified

This project helps developers quickly build robust recommendation systems. It takes raw user-item interaction data and outputs a trained recommendation model. Data scientists, machine learning engineers, and developers working on e-commerce, content platforms, or any application needing personalized suggestions would use this.

930 stars. Actively maintained with 41 commits in the last 30 days. Available on PyPI.

Use this if you are a developer looking for a streamlined, PyTorch-based framework to implement and deploy various recommendation algorithms quickly and efficiently.

Not ideal if you are a business user without programming knowledge, as this is a developer tool requiring coding expertise.

recommendation-systems machine-learning-engineering e-commerce content-personalization data-science
Maintenance 20 / 25
Adoption 10 / 25
Maturity 25 / 25
Community 22 / 25

How are scores calculated?

Stars

930

Forks

125

Language

Jupyter Notebook

License

MIT

Last pushed

Mar 13, 2026

Commits (30d)

41

Dependencies

7

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/datawhalechina/torch-rechub"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.