grouplens/samantha
Samantha - A generic recommender and predictor server
Samantha helps organizations quickly deploy and manage data-driven prediction or recommendation systems. It takes raw data from various databases and applies state-of-the-art machine learning models to generate predictions or recommendations. This is ideal for researchers or businesses who want to build and evaluate predictive features or recommendation engines with minimal setup.
No commits in the last 6 months.
Use this if you need to quickly deploy a data-driven prediction or recommendation system and evaluate its performance in a production environment.
Not ideal if you are looking for a simple machine learning library for ad-hoc analysis rather than a full-fledged serving system.
Stars
88
Forks
29
Language
Java
License
MIT
Category
Last pushed
Mar 25, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/grouplens/samantha"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
meta-pytorch/torchrec
Pytorch domain library for recommendation systems
recommenders-team/recommenders
Best Practices on Recommendation Systems
hongleizhang/RSPapers
RSTutorials: A Curated List of Must-read Papers on Recommender System.
kakao/buffalo
TOROS Buffalo: A fast and scalable production-ready open source project for recommender systems
google-research/recsim
A Configurable Recommender Systems Simulation Platform