A unified, comprehensive and efficient recommendation library
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Updated
Apr 22, 2024 - Python
A unified, comprehensive and efficient recommendation library
Learning to Rank in TensorFlow
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
Next RecSys Library
[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"
A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io
A tensorflow implementation of RippleNet
A tensorflow implementation of Knowledge Graph Convolutional Networks
Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems
Deep Learning Computer Vision Algorithms for Real-World Use
The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX
Graph Neural Networks for Social Recommendation, WWW'19
⚡️A Blazing-Fast Python Library for Ranking Evaluation, Comparison, and Fusion 🐍
Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018
A tensorflow implementation of MKR (Multi-task Learning for Knowledge Graph Enhanced Recommendation)
[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"
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, ICML'24).
PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
[WWW'2024] "RLMRec: Representation Learning with Large Language Models for Recommendation"
Personalized Fashion Recommendation and Generation
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