USTCLLM/RecStudio
A highly-modularized and recommendation-efficient recommendation library based on PyTorch.
RecStudio helps machine learning engineers quickly build and evaluate recommendation systems. It takes various forms of user-item interaction data, such as triplets (user, item, rating) or sequences of interactions, and outputs trained models capable of suggesting items. This is designed for ML practitioners who develop recommendation algorithms for products, content, or services.
198 stars. No commits in the last 6 months.
Use this if you are an ML engineer building a new recommender system and need a flexible, efficient framework to experiment with different algorithms and quickly evaluate their performance.
Not ideal if you are looking for a plug-and-play solution without writing Python code or deep dive into model architectures.
Stars
198
Forks
29
Language
Python
License
MIT
Category
Last pushed
Feb 13, 2025
Commits (30d)
0
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