Popular GitHub Repositories for Hybrid Recommender

A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.

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?.

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Gorse open source recommender system engine

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

A Python scikit for building and analyzing recommender systems

The Cloud-Native API Gateway and AI Gateway

A Python implementation of LightFM, a hybrid recommendation algorithm.

A unified, comprehensive and efficient recommendation library

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

精选机器学习，NLP，图像识别， 深度学习等人工智能领域学习资料，搜索，推荐，广告系统架构及算法技术资料整理。算法大牛笔记汇总

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

Deep recommender models using PyTorch.

MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model.

? 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

Learning to Rank in TensorFlow