State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

LibRec: A Leading Java Library for Recommender Systems, see

A unified, comprehensive and efficient recommendation library

Learning to Rank in TensorFlow

精选机器学习，NLP，图像识别， 深度学习等人工智能领域学习资料，搜索，推荐，广告系统架构及算法技术资料整理。算法大牛笔记汇总

An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

Next RecSys Library

This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

Learn about Machine Learning and Artificial Intelligence

[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"

Ten thousand books, six million ratings

A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io

Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.

A tensorflow implementation of RippleNet

Variational autoencoders for collaborative filtering

recommender system library for the CLR (.NET)

A tensorflow implementation of Knowledge Graph Convolutional Networks

Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems

Recommender Systems Paperlist that I am interested in

pytorch version of neural collaborative filtering