There are 183 repositories under recommender-system topic.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
Developer-friendly, embedded retrieval engine for multimodal AI. Search More; Manage Less.
RSTutorials: 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/
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
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
Classic papers and resources on recommendation
Accelerated deep learning R&D
Fast Open-Source Search & Clustering engine × for Vectors & Arbitrary Objects × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍
An index of algorithms for learning causality with data
Deep recommender models using PyTorch.
📋 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
A list of awesome papers and resources of recommender system on large language model (LLM).
QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommendation, LLM), Transfer learning, Reinforcement Learning and so on.
Machine Learning Platform and Recommendation Engine built on Kubernetes
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
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