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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
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
LibRec: A Leading Java Library for Recommender Systems, see
Learning to Rank in TensorFlow
Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io
This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)
Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
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"
A tensorflow implementation of RippleNet
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.
⚡️A Blazing-Fast Python Library for Ranking Evaluation, Comparison, and Fusion 🐍
Variational autoencoders for collaborative filtering
[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"
A tensorflow implementation of Knowledge Graph Convolutional Networks