Best Practices on Recommendation Systems

A collection of small bash scripts for heavy terminal users

A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine

Deep learning for recommender systems

Machine Learning Platform and Recommendation Engine built on Kubernetes

:+1::-1: A recommendation engine using Likes and Dislikes for your Ruby app

Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib).

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, Easy-to-use and Easy-to-extend.

A collaborative filtering based recommendation engine and NPM module built on top of Node.js and Redis. The engine uses the Jaccard coefficient to determine the similarity between users and k-nearest-neighbors to create recommendations. This module is useful for anyone with a database of users, a database of products/movies/items and the desire to give their users the ability to like/dislike and receive recommendations.

Recommendations for Ruby and Rails using collaborative filtering

A very simple content-based recommendation engine. Great for learning, but also ready for real-world use.

4 different recommendation engines for the MovieLens dataset.

RecTools - library to build Recommendation Systems easier and faster than ever before

Neo4j-based recommendation engine module with real-time and pre-computed recommendations.

Good Enough Recommendation (GER) Engine

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

The Azure Optimization Engine is an extensible solution designed to generate optimization recommendations for your Azure environment. See it like a fully customizable Azure Advisor.

Content based and collaborative filtering based recommendation and personalization engine implementation on Hadoop and Storm

Recommendation engine for Go

Completely local data-management platform with built in trainable recommendation engine

Welcome to Machine Learning: Zero to Hero: From the fundamentals of machine learning to advanced techniques like regressions, classification, clustering, Neural Networks, OpenCV, Recommendation Engines and more, this Python-based repository provides a comprehensive guide for mastering ML.

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

No description available

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.