Best Practices on Recommendation Systems

Fast Python Collaborative Filtering for Implicit Feedback Datasets

A unified, comprehensive and efficient recommendation library

Pytorch domain library for recommendation systems

推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

A TensorFlow recommendation algorithm and framework in Python.

An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

A Comparative Framework for Multimodal Recommender Systems

NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in production.

Reinforced Recommendation toolkit built around pytorch 1.7

Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems

A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.

OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms

[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"

Book recommender system using collaborative filtering based on Spark

An Attention-Based User Behavior Modeling Framework for Recommendation

Pytorch implementation of BERT4Rec and Netflix VAE.

Deep Recommenders