Best Practices on Recommendation Systems
-
Updated
Feb 23, 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 Comparative Framework for Multimodal Recommender Systems
A Lighting Pytorch Framework for Recommendation Models (PyTorchTui Jian Suan Fa Kuang Jia ), Easy-to-use and Easy-to-extend. https://datawhalechina.github.io/torch-rechub/
Recommendations for Ruby and Rails using collaborative filtering
RecTools - library to build Recommendation Systems easier and faster than ever before
Neo4j-based recommendation engine module with real-time and pre-computed recommendations.
RecDB is a recommendation engine built entirely inside PostgreSQL
Free and open source code of the https://tournesol.app platform. Meet the community on Discord https://discord.gg/WvcSG55Bf3
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
Site de recommandation de mangas et d'anime
Add a description, image, and links to the recommendation-engine topic page so that developers can more easily learn about it.
To associate your repository with the recommendation-engine topic, visit your repo's landing page and select "manage topics."