State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
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Updated
Aug 12, 2024 - Jupyter Notebook
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
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
Learning to Rank in TensorFlow
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
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
[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"
Ten thousand books, six million ratings
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
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