wzjin's starred repositories
SpringBoot-Labs
一个涵盖六个专栏:Spring Boot 2.X、Spring Cloud、Spring Cloud Alibaba、Dubbo、分布式消息队列、分布式事务的仓库。希望胖友小手一抖,右上角来个 Star,感恩 1024
springBoot
springboot 框架与其它组件结合如 jpa、mybatis、websocket、security、shiro、cache等
jstarcraft-example
基于JStarCraft RNS引擎,Spring Boot框架和公共数据集搭建的千人千面演示项目. 系统会根据用户的行为记录,自动调整用户的推荐内容和搜索内容.使用者可以通过该项目了解*推荐系统*与*搜索系统*的运作流程. 涵盖了个性化推荐与个性化搜索2个部分.
jstarcraft-rns
专注于解决推荐领域与搜索领域的两个核心问题:排序预测(Ranking)和评分预测(Rating). 为相关领域的研发人员提供完整的通用设计与参考实现. 涵盖了70多种排序预测与评分预测算法,是最快最全的Java推荐与搜索引擎.
neo4j-reco
Neo4j-based recommendation engine module with real-time and pre-computed recommendations.
riskcontrol
轻量级JAVA实时业务风控系统框架
java-timeseries
Time series analysis in Java
timeseries-forecast
This is a Java open source library which provides a time series forecasting functionality.
clever-security
权限管理系统
spring-boot-demo
spring boot demo 是一个Spring Boot、Spring Cloud的项目示例,根据市场主流的后端技术,共集成了50+个demo,未来将持续更新。该项目包含helloworld(快速入门)、web(ssh项目快速搭建)、aop(切面编程)、data-redis(redis缓存)、quartz(集群任务实现)、shiro(权限管理)、oauth2(四种认证模式)、shign(接口参数防篡改重放)、encoder(用户密码设计)、actuator(服务监控)、cloud-config(配置中心)、cloud-gateway(服务网关)等模块
strategies
quantitative trading with Javascript, Python, C++, PineScript, Blockly, MyLanguage(麦语言)
RuoYi-Vue-fast
:tada: (RuoYi)官方仓库 基于SpringBoot,Spring Security,JWT,Vue & Element 的前后端分离权限管理系统
FinAnalyzer
Tool for technical analysis of financial data about companies indexed on the stockmarket using machine learning
dynamic-loader
Java In memory Compiler thats enables to compile java file and code string in memory.
Java-JavaFx-Swing-Projects-Desktop-Application-GUI-Software
All projects are based on ☕ Java(Swing.All projects are database(MySql) connected📂 and compatible to run is🖥️ Desktop(with .exe)🖱️.All projects have a Graphical User Interface(GUI)👨🏻💻 that user can communicate and understand the application easily).
Chronicle-Accelerate
HFT meets Blockchain in Java platform
native-utils
A simple library class which helps with loading dynamic JNI libraries stored in the JAR archive
Chronicle-Map
Replicate your Key Value Store across your network, with consistency, persistance and performance.
jstarcraft-ai
目标是提供一个完整的Java机器学习(Machine Learning/ML)框架,作为人工智能在学术界与工业界的桥梁. 让相关领域的研发人员能够在各种软硬件环境/数据结构/算法/模型之间无缝切换. 涵盖了从数据处理到模型的训练与评估各个环节,支持硬件加速和并行计算,是最快最全的Java机器学习库.