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content-engine

A very simple content-based recommendation engine. Great for learning, but also ready for real-world use.

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).

divisi2

A Python library for learning from dimensionality reduction, supporting sparse and dense matrices.

docker_practice

Learn and understand Docker technologies, with real DevOps practice!

helpers

icme2019competition

短视频内容理解与推荐竞赛

jdata

京东JData算法大赛-高潜用户购买意向预测入门程序(starter code)

knn

机器学习实战

learning-to-rank-with-implicit-matrix

learningmaterials

machine-learning-with-python

此项目是我在学习《机器学习实战》这本书时的代码记录情况，用python实现，当然也会包括一些其他的机器学习算法，使用Python实现

mlcode

b站邹博老师课程的代码自己实现一下

novelrs

一个简单的网络小说推荐系统

owllook

owllook-在线网络小说阅读网站&小说搜索引擎&小说推荐系统[搜索、追书、收藏、追更、小说API]

paddle-test

pydatasciencetoolkits_base

使用Python进行数据分析实验工具NumPy、Pandas、Matplotlib、Scikit-learn的入门介绍，使用IPython Notebook格式

python-recsys

A python library for implementing a recommender system

rec-material

recengine

recsysblog

个人学习推荐系统技术的总结blog

rnn

rrcyxr

my recsys code for some papers

rspapers

推荐系统论文

rsresearch

推荐系统中使用tag作为辅助数据

spark-knn-recommender

Item and User-based KNN recommendation algorithms using PySpark

userrec

user Temporal modeling

vue-tutorials

Let you insight into the Vue.js

wechat-app-mall

微信小程序商城，微信小程序微店

xuerongchuan.github.io

Build a Jekyll blog in minutes, without touching the command line.