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

A unified, comprehensive and efficient recommendation library

LibRec: A Leading Java Library for Recommender Systems, see

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Learning to Rank in TensorFlow

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

Next RecSys Library

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

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

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

Learn about Machine Learning and Artificial Intelligence

Ten thousand books, six million ratings

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

Repository hosting code used to reproduce results in "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).

A tensorflow implementation of RippleNet

Variational autoencoders for collaborative filtering

recommender system library for the CLR (.NET)

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

A tensorflow implementation of Knowledge Graph Convolutional Networks

pytorch version of neural collaborative filtering