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

大厂发布的AI落地实践、顶尖实验室的最新论文、工业界的真实踩坑记录

LibRec: A Leading Java Library for Recommender Systems, see

Learning to Rank in TensorFlow

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

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

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

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

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

Next RecSys Library

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"

推荐系统入门指南，全面介绍了工业级推荐系统的理论知识（王树森推荐系统公开课-基于小红书的场景讲解工业界真实的推荐系统），如何基于TensorFlow2训练模型，如何实现高性能、高并发、高可用的Golang推理微服务。Comprehensively introduced the theory of industrial recommender system, how to trainning models based on TensorFlow2, how to implement the high-performance、high-concurrency and high-available inference services base on Golang.

GRID: Generative Recommendation with Semantic IDs

⚡️A Blazing-Fast Python Library for Ranking Evaluation, Comparison, and Fusion 🐍

A tensorflow implementation of RippleNet

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

Variational autoencoders for collaborative filtering