开源推荐系统整理

 花了大概1天的时间整理的各语言的开源推荐系统，比较完整全面的项目标红。

一、python库

1、benfred/implicit

Fast Python Collaborative Filtering for Implicit Datasets

https://github.com/benfred/implicit

2、Mendeley/mrec

A recommender systems development and evaluation package by Mendeley

https://github.com/mendeley/mrec       

3、lyst/lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

https://github.com/lyst/lightfm

4、MrChrisJohnson/logistic-mf

Logistic Matrix Factorization for Implicit Feedback Data.

https://github.com/MrChrisJohnson/logistic-mf

5、NicolasHug/Surprise

A Python scikit for building and analyzing recommender systems

https://github.com/NicolasHug/Surprise

6、ocelma/python-recsys

A python library for implementing a recommender system

https://github.com/ocelma/python-recsys

7、muricoca/crab

Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib).

https://github.com/muricoca/crab