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/

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

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​.

AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding

Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.

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

RSTutorials: A Curated List of Must-read Papers on Recommender System.

A Python implementation of LightFM, a hybrid recommendation algorithm.

Papers on Computational Advertising

Fast Open-Source Search & Clustering engine × for Vectors & Arbitrary Objects × in C++, C, Python, JavaScript, Rust, Java, Objective-C, Swift, C#, GoLang, and Wolfram 🔍

Fast Python Collaborative Filtering for Implicit Feedback Datasets

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

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

A Deep Learning Recommender System

🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .

Pytorch domain library for recommendation systems

Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ranking (CTR/CVR prediction), Post Ranking, Relevance, LLM, Reinforcement Learning and so on.

A framework for large scale recommendation algorithms.

A list of awesome papers and resources of recommender system on large language model (LLM).

计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估

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)