xuerongchuan's repositories
ICME2019competition
短视频内容理解与推荐竞赛
vue-tutorials
Let you insight into the Vue.js
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!
kNN
机器学习实战
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
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
recsysBlog
个人学习推荐系统技术的总结blog
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
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.