recommender-system

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.

MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. 「妙计包」是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。

[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"

Large Language Model-enhanced Recommender System Papers

RSTutorials: A Curated List of Algorithms about Traditional and Social Recommender System.

Modular e-commerce backend with a GraphQL gateway and gRPC microservices for accounts, products, orders, payments, and recommendations.

A Toolbox for MultiModal Recommendation. Integrating 10+ Models...

👕 Open-source course on architecting, building and deploying a real-time personalized recommender for H&M fashion articles.

Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed and maintained by SIG Recommenders.

Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications

PyTorch(1.6+) implementation of https://github.com/kang205/SASRec

Recommendations for Ruby and Rails using collaborative filtering

TOROS Buffalo: A fast and scalable production-ready open source project for recommender systems

CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).

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)

[SIGIR 2024 perspective] The implementation of paper "On Generative Agents in Recommendation"