There are 168 repositories under recommender-system topic.
A Curated List of Must-read Papers on Recommender System.
推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/
Classic papers and resources on recommendation
Accelerated deep learning R&D
Deep recommender models using PyTorch.
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
An index of algorithms for learning causality with data
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
A Deep Learning Recommender System
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
Neural Collaborative Filtering
Fast Open-Source Search & Clustering engine × for Vectors & 🔜 Strings × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
Machine Learning Platform and Recommendation Engine built on Kubernetes
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
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.