Popular GitHub Repositories for Recommendation Algorithms

An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)

A Comparative Framework for Multimodal Recommender Systems

[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"

RecDB is a recommendation engine built entirely inside PostgreSQL

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

A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models

A tour through recommendation algorithms in python [IN PROGRESS]

AI项目（强化学习、深度学习、计算机视觉、推荐系统、自然语言处理、机器导航、医学影像处理）

Neural recommender system implementation in TensorFlow.

CTR模型代码和学习笔记总结

# This Repository contains implementation of different Recommendation Engine Algorithms

Cross-selling recommendation model made by Cogito NTNU in collaboration with Infor AS

Neural-Net Music Recommendations – AI-generated music suggestions using Keras deep learning & ensemble techniques with Spotify's API.

This is a ContextAware Venue Recommendation System Based on Machine Learning. This System is well aware of Different Context's that may alter a Users Selection of Venue!

SneakFit is an AI-powered platform that helps users find their perfect sneakers using content-based recommendation algorithms. It features personalized recommendations, dynamic product listings, secure user authentication, advanced search with filtering, and a responsive design.