Best Practices on Recommendation Systems
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Updated
Jun 29, 2026 - Python
Best Practices on Recommendation Systems
A collection of small bash scripts for heavy terminal users
Deep learning for recommender systems
Machine Learning Platform and Recommendation Engine built on Kubernetes
DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
A Comparative Framework for Multimodal Recommender Systems
Recommendations for Ruby and Rails using collaborative filtering
Not an Amazon-style catalog or marketplace. ctx is a recommendation layer: bring your org tools or use the shipped graph to load the right skills, agents, MCPs, and harnesses only for the current dev window, cutting token bills and local compute waste: 79,958-node LLM-wiki graph, 68,494 skills, 467 agents, 10,790 MCPs, 207 harnesses.
RecTools - library to build Recommendation Systems easier and faster than ever before
Neo4j-based recommendation engine module with real-time and pre-computed recommendations.
Free and open source code of the https://tournesol.app platform. Meet the community on Discord https://discord.gg/WvcSG55Bf3
RecDB is a recommendation engine built entirely inside PostgreSQL
Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
A C library for product recommendations/suggestions using collaborative filtering (CF)
Music Recommender System
Basic Movie Recommendation Web Application using user-item collaborative filtering.
A step-by-step tutorial on developing a practical recommendation system (retrieval and ranking) using TensorFlow Recommenders and Keras.
recommender system tutorial with Python
Book Recommendation System built for Book Lovers📖. Simply Rate ⭐ some books and get immediate recommendations🤩
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