AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding
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Updated
Aug 28, 2026 - Go
AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding
RSTutorials: A Curated List of Must-read Papers on Recommender System.
A unified, comprehensive and efficient recommendation library
Fast Python Collaborative Filtering for Implicit Feedback Datasets
LibRec: A Leading Java Library for Recommender Systems, see
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
Neural Collaborative Filtering
Deep learning for recommender systems
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
Factorization Machine models in PyTorch
Next RecSys Library
A Comparative Framework for Multimodal Recommender Systems
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
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.
Neural Graph Collaborative Filtering, SIGIR2019
个性化新闻推荐系统,A news recommendation system involving collaborative filtering,content-based recommendation and hot news recommendation, can be adapted easily to be put into use in other circumstances.
[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"
Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" (RecSys2020)
Variational autoencoders for collaborative filtering
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