zengxiaosen Goto Github PK
Name: z
Type: User
Company: tencent
Location: China
z's Projects
ad_dsp_processing
广告数据线下一些小实验
ad_vtr_mining
广告vtr挖掘
angel
A Flexible and Powerful Parameter Server for large-scale machine learning
bandwidth_packetloss_toplot
bandwidth_packetloss_toplot
beam
Mirror of Apache Beam
bidengineofdspoffline
根据原始日志做的预算平滑小实验
brpc
Industrial-grade RPC framework used throughout Baidu, with 1,000,000+ instances and thousands kinds of services, called "baidu-rpc" inside Baidu.
canal
阿里巴巴mysql数据库binlog的增量订阅&消费组件 。阿里云DRDS( https://www.aliyun.com/product/drds )、阿里巴巴TDDL 二级索引、小表复制powerd by canal. Aliyun Data Lake Analytics https://www.aliyun.com/product/datalakeanalytics powered by canal
canal-go
Alibaba mysql database binlog incremental subscription & consumer components Canal's golang client[阿里巴巴mysql数据库binlog的增量订阅&消费组件 Canal 的 go 客户端 ] https://github.com/alibaba/canal
casesaboutml
pythonDailyWorkingtest
cdnofflineanalysisv1
hadoop离线处理version1
ceph
Ceph is a distributed object, block, and file storage platform
chronicle-map
Replicate your Key Value Store across your network, with consistency, persistance and performance.
chronicle-values
cloudcomputeandsdn
云计算和sdn的一部分论文
conference
containerd
An open and reliable container runtime
controller
软件定义网络OpendayLight控制器（目前最主流的控制器）
coroutineforjava
java生态中的Actor模式之一(Kilim)，通过脏值绕过guava初始化同步过程，参考Adam.H
datasecurityplatformproyotypesystem
密钥传输，协商等的管理平台简易原型系统
designpattern
设计模式实现(Java、C++、Golang)
distributetimerfront
基于golang actor模式构建的分布式定时器, front module
druid
Column oriented distributed data store ideal for powering interactive applications
dubbo
:loudspeaker: Dubbo is a distributed, high performance RPC framework empowering applications with service import/export capabilities.
dwv
这是一个3D图像展示的js框架，用来医疗等场景的数据展示
eshop
电商+大数据+spark机器学习
fileclassify
针对tfidf较高的文本主题词做知网的义元转换，实现降维，构建文本自动分类系统，使用义元的时候涉及jni操作。
flasktools
玩一下Python生态的Flask，Django，Scrapy，melenium等
flink
对flink的streaming模块进行源码分析，最终目的是对多流join、数据失序、水位线设定等问题进行工程优化
flinkmultistreamoptimization
优化flink的多流操作（例如join），优化点不限于数据丢失问题，以及性能问题
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