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#

recommender-system

Here are 4,672 public repositories matching this 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.

  • UpdatedAug 18, 2024
  • Python
qdrantweaviate

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​.

  • UpdatedJul 18, 2025
  • Go

Gorse open source recommender system engine

  • UpdatedJul 18, 2025
  • Go

Developer-friendly, embedded retrieval engine for multimodal AI. Search More; Manage Less.

  • UpdatedJul 18, 2025
  • Python
RSPapers

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

  • UpdatedAug 21, 2024

A Python implementation of LightFM, a hybrid recommendation algorithm.

  • UpdatedJul 24, 2024
  • Python

Fast Python Collaborative Filtering for Implicit Feedback Datasets

  • UpdatedJul 11, 2024
  • Python

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

  • UpdatedJun 7, 2024
  • Java

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

  • UpdatedJul 25, 2024
  • Jupyter Notebook

Classic papers and resources on recommendation

  • UpdatedJun 13, 2020
  • Python

Deep recommender models using PyTorch.

  • UpdatedDec 21, 2022
  • Python
usearch

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

  • UpdatedJul 11, 2025
  • C++
ml-surveys

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

  • UpdatedMar 17, 2023

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

  • UpdatedFeb 27, 2020
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