meta-pytorch/torchrec
Pytorch domain library for recommendation systems
This helps recommendation system engineers and machine learning scientists build, train, and deploy large-scale personalization models more efficiently. You provide user interaction data (like clicks or purchases), and it helps generate predictions for what users might like next. This is for teams developing recommendation features for products with many users and items, like e-commerce platforms or social media feeds.
2,488 stars. Actively maintained with 139 commits in the last 30 days. Available on PyPI.
Use this if you need to build or scale a recommendation system that processes massive amounts of user data and requires high performance using GPUs.
Not ideal if you are looking for a pre-built, off-the-shelf recommendation engine rather than a specialized library for developing your own.
Stars
2,488
Forks
618
Language
Python
License
BSD-3-Clause
Category
Last pushed
Mar 13, 2026
Commits (30d)
139
Dependencies
6
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