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Vincent's Projects

amis icon amis

前端低代码框架，通过 JSON 配置就能生成各种页面。

angel icon angel

A Flexible and Powerful Parameter Server for large-scale machine learning

avatarmq icon avatarmq

AvatarMQ is a distributed message queue system based on Netty (Java-NIO framework).

awesome-go icon awesome-go

A curated list of awesome Go frameworks, libraries and software

awesome-groovy icon awesome-groovy

A curated list of awesome groovy libraries, frameworks and resources

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

blog_demos icon blog_demos

CSDN博客专家程序员欣宸的github，这里有五百多篇原创文章的详细分类和汇总，以及对应的源码，内容涉及Java、Docker、Kubernetes、DevOPS等方面

cobar icon cobar

基于MySQL的分布式数据库服务中间件

cobarclient icon cobarclient

基于iBatis和Spring的轻量级分布式数据访问框架(DDAL)

codegenerator icon codegenerator

根据数据表结构,自动生成Model&Mapper&Service&ServiceImpl&Controller代码

codinginterviewchinese2 icon codinginterviewchinese2

《剑指Offer》第二版源代码（Clone from: https://github.com/zhedahht/CodingInterviewChinese2）

csv-file-access-c- icon csv-file-access-c-

C++ LIB for CSV file reading writing and modify C++库 用于CSV文件的读写，修改等操作

face2face icon face2face

基于netty的异步非阻塞实时聊天(IM)服务器。

flink-commodity-recommendation-system icon flink-commodity-recommendation-system

:whale:基于 Flink 的商品实时推荐系统。使用了 redis 缓存热点数据。当用户产生评分行为时，数据由 kafka 发送到 flink，根据用户历史评分行为进行实时和离线推荐。实时推荐包括：基于行为和实时热门，离线推荐包括：历史热门、历史优质商品和 itemcf 。

game_service_system icon game_service_system

从0开始开发 基础库（配置文件读写、日志、多线程、多进程、锁、对象引用计数、内存池、免锁消息队列、免锁数据缓冲区、进程信号、共享内存、定时器等等基础功能组件），网络库（socket、TCP、UDP、epoll机制、连接自动收发消息等等），数据库操作库（mysql，redis、memcache API 封装可直接调用），开发框架库（消息调度处理、自动连接管理、服务开发、游戏框架、服务间消息收发、消息通信等等），消息中间件服务（不同网络节点间自动传递收发消息）等多个功能组件、服务，最后完成一套完整的服务器引擎，基于该框架引擎可开发任意的网络服务。 主体架构：N网关+N服务+N数据库代理+内存DB（Redis、MemCache）+Mysql数据库，基于该架构可建立集群，稳定高效的处理大规模、高并发消息。

interview_internal_reference icon interview_internal_reference

2019年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。

jdata icon jdata

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

kratos-1 icon kratos-1

基于Java语言编写的轻量级分库分表(Sharding)中间件，丰富的Sharding算法支持(2类4种分片算法)，能够方便DBA实现库的极速扩容和降低数据迁移成本。Kratos站在巨人的肩膀上(SpringJdbc)，采用与应用集成架构，放弃通用性，只为换取更好的执行性能与降低分布式环境下外围系统的down机风险。

leetcode icon leetcode

:pencil2: LeetCode solutions in C++ 11 and Python3

leetcodeanimation icon leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

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