Best Practices on Recommendation Systems
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Updated
Sep 28, 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
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.
A Comparative Framework for Multimodal Recommender Systems
Recommendations for Ruby and Rails using collaborative filtering
CTX Fit finds the cheapest AI coding setup that reliably works on your repository, then applies the winner as a reviewable change.
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
Music Recommender System
A C library for product recommendations/suggestions using collaborative filtering (CF)
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🤩
To associate your repository with the recommendation-engine topic, visit your repo's landing page and select "manage topics."