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
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Learning to Rank in TensorFlow
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.
Next RecSys Library
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)
[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"
A tensorflow implementation of Knowledge Graph Convolutional Networks
Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems
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