xiaomaiyun Goto Github PK
Type: User
Location: Chengdu, Sichuan, China
xiaomaiyun's Projects
akka-dsgd
Distributed Collaborative Filtering on top of Akka
algs4
Algorithms, 4th edition textbook code and libraries
amazon-recommender-system
recommender system of amazon product ( for final project of CSE544 )
androidarchitecture
Recommended architecture by Android
anyupload
anyupload是一个极度纯净的上传插件，通过简单调整就可以融入到任何项目，支持多文件上传、上传速率动态控制、真实进度监控kb/s、分块生成MD5、分块上传、MD5校验秒传、暂停、取消等。仅需1000行代码
apachespark_machinelearning_scala
This Project is all about running Machine Learning algorithms on a distributed file system(HDFS) using Apache Spark and Scala
athenax
SQL-based streaming analytics platform at scale
attentive-group-recommendation
Atentive Group Recommendation
awesome-backend-architecture
后端开发常用技术框架、数据库、开源中间件、微服务、系统架构集合。
awesome-github-vue
Vue相关开源项目库汇总
awesome-python-cn
Python资源大全中文版，包括：Web框架、网络爬虫、模板引擎、数据库、数据可视化、图片处理等，由伯乐在线持续更新。
beauty_ssm_cluster
对”优雅的SSM框架“进行完善（页面分离+Nginx负载均衡+Tomcat集群）
bigdata-notes
大数据入门指南 :star:
bigdata_analysispage
电商大数据分析平台——静态页面模板
bullplugin
Java plugin loading framework
calllogcollectsystem
基于Hadoop的通话记录日志实时收集、展示、监控系统
chat
简单页面聊天系统，登录即可连接
clickstream
点击流日志实时分析系统
cloud-note
基于分布式的云笔记（参考某道云笔记），数据存储在redis与hbase中
cloud_note
Spring+Spring MVC+Mybatis开发的云笔记项目
cloudnote
毕设云笔记系统
cloudreve
🌈支持多家云存储的云盘系统 (A project helps you build your own cloud in minutes)
cn5e-shop
《菜鸟商城》是一个仿淘宝客户端的实战课程，帮助你系统掌握商城类应用功能实现和开发流程，完整的实现一个商业化项目。其中功能包括：支付（支付宝、微信、百度钱包），首页，热卖，商品大全，购物车，我的，商品列表，商品详情，注册/登录，收货地址，我的订单，我的收藏等。
cniao5
购物(商城)类app,项目主要分为主页、热卖、分类、购物车、我的五大板块.该app基本上覆盖市面上商机级商城类app的功能,包括购物车、微信及支付宝支付、热门及历史搜索、登录注册、收货地址管理等.另外,本项目持续维护中!!!同时可进入QQ群,和作者、其他小伙伴一起谈论该项目
convmf
Code for our paper Convolutaional Matrix Factorization for Document Context-Aware Recommendation (RecSys 2016)
coolshopping
一个仿拉手团购的购物App
cs-notes
:books: Computer Science Learning Notes
demo_11.11_storm-spark-hadoop
hadoop_storm_spark结合实验的例子，模拟淘宝双11节，根据订单详细信息，汇总出总销售量，各个省份销售排行，以及后期的SQL分析，数据分析，数据挖掘等。 --------大概流程------- 第一阶段（storm实时报表） 第二阶段（离线报表）第三阶段（大规模订单即席查询,和多维度查询） 第四阶段（数据挖掘和图计算）
dlrs-papers
collection of the deep learning papers on recommender systems
dsgd
在Spark上用SGD方法实现矩阵分解
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