Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

A Python implementation of LightFM, a hybrid recommendation algorithm.

Papers on Computational Advertising

Fast Python Collaborative Filtering for Implicit Feedback Datasets

Classic papers and resources on recommendation

Accelerated deep learning R&D

Deep recommender models using PyTorch.

A Deep Learning Recommender System

Pytorch domain library for recommendation systems

Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ranking, Post Ranking, Relevance, LLM and RL. Please cite our paper "Deep Learning to Rank in Industrial Search Engines, Recommender Systems, and Online Advertising - An Overview and New Perspectives" (TOIS 2026).

A framework for large scale recommendation algorithms.

TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

Recommender Learning with Tensorflow2.x

Neural Collaborative Filtering

QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

Minimal reproduction of OneRec

A TensorFlow recommendation algorithm and framework in Python.

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.

This is a repository of public data sources for Recommender Systems (RS).