Popular GitHub Repositories for Recommender Systems

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

Learning to Rank in TensorFlow

Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.

A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io

Next RecSys Library

[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"

A tensorflow implementation of RippleNet

[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"

The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX

A tensorflow implementation of DKN (Deep Knowledge-aware Network for News Recommendation)

[WWW'2024] "RLMRec: Representation Learning with Large Language Models for Recommendation"

A tensorflow implementation of MKR (Multi-task Learning for Knowledge Graph Enhanced Recommendation)

Personalized Fashion Recommendation and Generation

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

A tensorflow implementation of Knowledge-aware Graph Neural Networks with Label Smoothness regularization

[EMNLP'2024] "XRec: Large Language Models for Explainable Recommendation"

Towards Knowledge-Based Recommender Dialog System @ EMNLP 2019

A Comprehensive Survey of Self-Supervised Learning for Recommendation

[KDD'2023] "KGRec: Knowledge Graph Self-Supervised Rationalization for Recommendation"