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deane163's Projects

apollo icon apollo

Apollo(阿波罗)是携程框架部门研发的分布式配置中心,能够集中化管理应用不同环境、不同集群的配置,配置修改后能够实时推送到应用端,并且具备规范的权限、流程治理等特性,适用于微服务配置管理场景。

awesome-java icon awesome-java

Collection of awesome Java project on Github(Github 上非常棒的 Java 开源项目集合).

crimekgassitant icon crimekgassitant

Crime assistant including crime type prediction and crime consult service based on nlp methods and crime kg,罪名法务智能项目,内容包括856项罪名知识图谱, 基于280万罪名训练库的罪名预测,基于20W法务问答对的13类问题分类与法律资讯问答功能.

deanemvc icon deanemvc

手写一个简单的SpringMVC , 实现基础的Controller和Interceptor 功能

dubbo icon dubbo

Dubbo is a high-performance, java based, open source RPC framework 源码解析:http://www.iocoder.cn/Dubbo/good-collection/?github

image-parent icon image-parent

一个简单的分布式图片服务器,提供图片的分布式上传操作。

javafamily icon javafamily

【Java面试+Java学习指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。

javaguide icon javaguide

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试,首选 JavaGuide!

javainterview icon javainterview

【Java面试+Java后端技术学习指南】:一份通向理想互联网公司的面试指南,包括 Java,技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、分布式、数据库(MySQL、Redis)、Java 项目实战等

mall-learning icon mall-learning

mall学习教程,架构、业务、技术要点全方位解析。mall项目(40k+star)是一套电商系统,使用现阶段主流技术实现。涵盖了SpringBoot 2.3.0、MyBatis 3.4.6、Elasticsearch 7.6.2、RabbitMQ 3.7.15、Redis 5.0、MongoDB 4.2.5、Mysql5.7等技术,采用Docker容器化部署。

middle-ware-parent icon middle-ware-parent

SpringBoot集成常用开发中间件,分库分表,缓存,消息队列,定时器,权限管理等组件

mqtt-spring-boot-starter icon mqtt-spring-boot-starter

MQTT Client 客户端服务,方便用户可以快速集成,详细请参考工程 mqtt-spring-boot-starter-example;

mqtt-spring-boot-starter-example icon mqtt-spring-boot-starter-example

MQTT Client 客户端服务使用示例,参考此示例后,用户可以快速集成,详细请参考工程 mqtt-spring-boot-starter-example;

oauth2 icon oauth2

【Oauth2.0】Oauth2.0 服务器 ,提供Code模式认证客户端

piggymetrics icon piggymetrics

Microservice Architecture with Spring Boot, Spring Cloud and Docker

qasystemonmedicalkg icon qasystemonmedicalkg

A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建,自动问答,基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱,并以该知识图谱完成自动问答与分析服务。

smartkg icon smartkg

This project accepts excel files as input which contains the description of a Knowledge Graph (Vertexes and Edges) and convert it into an in-memory Graph Store. This project implements APIs to search/filter/get nodes and relations from the in-memory Knowledge Graph. This project also provides a dialog management framework and enable a chatbot based on its knowledge graph.

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