A unified, comprehensive and efficient recommendation library
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Updated
May 30, 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
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"
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
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).
⚡️A Blazing-Fast Python Library for Ranking Evaluation, Comparison, and Fusion 🐍
Graph Neural Networks for Social Recommendation, WWW'19
Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018
[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"
A tensorflow implementation of MKR (Multi-task Learning for Knowledge Graph Enhanced Recommendation)
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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