recommendation-engine

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

A C library for product recommendations/suggestions using collaborative filtering (CF)

Music Recommender System

Content-based movie recommender: a training pipeline (TF-IDF, SVD, top-K cosine neighbours) and a Django app with search, autocomplete and a JSON API. Small models, about 1 ms lookups, ships with a demo model.

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