A unified, comprehensive and efficient recommendation library
Learning to Rank in TensorFlow
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io
Next RecSys Library
Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"
A tensorflow implementation of RippleNet
⚡️A Blazing-Fast Python Library for Ranking Evaluation, Comparison, and Fusion 🐍
A tensorflow implementation of Knowledge Graph Convolutional Networks
[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"
Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems
The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX
Deep Learning Computer Vision Algorithms for Real-World Use
[WWW'2024] "RLMRec: Representation Learning with Large Language Models for Recommendation"
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
A tensorflow implementation of MKR (Multi-task Learning for Knowledge Graph Enhanced Recommendation)
PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models
Personalized Fashion Recommendation and Generation
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