AI powered open source recommender system engine supports classical/LLM rankers and multimodal content via embedding
collaborative-filtering 开源项目推荐(2,629 个)
collaborative-filtering 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 2,629 个仓库RSTutorials: A Curated List of Must-read Papers on Recommender System.
A unified, comprehensive and efficient recommendation library
Fast Python Collaborative Filtering for Implicit Feedback Datasets
LibRec:推荐系统的领先Java库,请参见
该知识库包含基于深度学习的文章、论文和推荐系统的知识库
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
Neural Collaborative Filtering
Deep learning for recommender systems
基于深度学习的开源工具包,使用TensorFlow推荐。
Factorization Machine models in PyTorch
面向多模态推荐系统的比较框架
Next RecSys Library
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
Neural Graph Collaborative Filtering, SIGIR2019
个性化新闻推荐系统,A news recommendation system involving collaborative filtering,content-based recommendation and hot news recommendation, can be adapted easily to be put into use in other circumstances.
[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"
“DaisyRec 2.0:严谨评估的基准测试建议”(TPAMI2022)和“我们是否在进行严格评估?”的官方代码可重复性评估与公平比较的基准测试建议(RecSys2020)
Variational autoencoders for collaborative filtering
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/collaborative-filtering。
- 该话题在 GitHub 上共有 2,629 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 4.7 万 Star,覆盖 4 种主要语言,数据更新于 2026-11-06。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。