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Name: 陈安云
Type: User
Name: 陈安云
Type: User
ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files.
My first scrapy spider demo
Vue相关开源项目库汇总
A curated list of awesome Machine Learning frameworks, libraries and software.
Essential Cheat Sheets for deep learning and machine learning researchers
UPnP/DLNA library for Java and Android
Fork of the RES Cobol2Java compiler
DeepFaceLab is the leading software for creating deepfakes.
DeepFaceLab最新版,完整版,原版汉化版。
Spring Boot Project for Apache Dubbo
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Grammars written for ANTLR v4; expectation that the grammars are free of actions.
java 模块化容器
!!!Java 高并发多线程编程系列 demo 代码&教程&面试题集锦! !! 包括但不限于线程安全性, atomic包下相关类、CAS原理、Unsafe类、synchronized关键字等的使用及注意事项,volatile关键字的规则和使用,及synchronized关键字的可见性,happens-before原则 安全发布对象的一些核心方法方式,线程安全策略定义不可变对象、线程封闭、同步容器、并发容器等.\,AQS模型设计及相关同步组件的原理和使用,都非常实用,具体包括:CountDownLatch、Semaphore、CyclicBarrier、ReentrantLock与锁、Condition等,FutureTask、Fork/Join框架、BlockingQueue,其中FutureTask讲解时会对比着Callable、Runnable、Future来讲,线程调度-线程池 J.U.C里最后一部分:线程池,ThreadPoolExecutor详细介绍(参数、状态、方法)、线程池类图、Executor框架接口等进行讲解,需要大家能了解线程池的许多细节及配置,并能在实际项目中正确使用 多线程并发拓展讲解 对并发编程做些补充,但都贴近当前的面试,主要讲解死锁产生的条件及预防、多线程并发编程的最佳实践、Spring与线程安全、以及面试都特别喜欢问的HashMap和ConcurrentMap源码细节。当然,面试喜欢问的问题,对实际项目开发也是特别重要的 高并发之扩容 高并发部分:思路,侧重面试,扩容思路,首先介绍垂直扩容和水平扩容的区别,之后介绍数据库读操作扩展和写操作扩展思路。 高并发之缓存 思路,本章讲解高并发中缓存方案。 包含对缓存特征(命中率、最大元素、清空策略)、影响缓存命中率因素、缓存分类和应用场景(本地缓存、分布式缓存)、高并发场景下缓存常见问题(缓存一致性、缓存并发、缓存穿透、雪崩)等的具体介绍。此外,针对大家常用的缓存组件Guava Cache、Memcache、Redis 高并发之消息队列 思路,本章介绍了消息队列的特性(业务无关、FIFO、容灾、性能)、为什么需要消息队列以及消息队列的好处(业务解耦、最终一致性、广播、错峰与流控),最后对当前比较流行的消息队列组件kafka和rabbitmq做了架构分析和特性介绍 高并发之应用拆分 从实际项目拆分步骤讲起,让大家可以实际感受到应用拆分的好处和解决的问题,之后引出对应用拆分原则(业务优先、循序渐进、兼顾技术、可靠测试)和应用拆分时思考的内容(应用之间通信、应用之间数据库设计、避免事务跨应用),并引出对服务化Dubbo和微服务Spring Cloud的框架介绍 高并发之应用限流,自动降级(超时、失败次数、故障、限流)和人工降级(开关)
基于代码生成器的快速开发平台,超越传统商业开发平台!前后端分离架构:SpringBoot 2.x,Ant Design&Vue,Mybatis-plus,Shiro,JWT。强大的代码生成器让前后端代码一键生成,无需写任何代码! 引领新开发模式(OnlineCoding-> 代码生成-> 手工MERGE),帮助Java项目解决70%重复工作,让开发更关注业务逻辑,既能快速提高开发效率,帮助公司节省成本,同时又不失灵活性。
2st Place Solution for kesci-ctrip room prediction
用户预订售卖房型概率预测--top1
微服务开发基础框架
Models and examples built with TensorFlow
阿里巴巴分布式数据库同步系统(解决中美异地机房)
Audio style transfer with shallow random parameters CNN. Result: https://soundcloud.com/mazzzystar/sets/speech-conversion-sample
For an introductory tutorial on how to use Jenkins to build a simple Java application with Maven.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.