ledanck Goto Github PK

awesome-java-leetcode

:crown: LeetCode of algorithms with java solution(updating).

beats

:tropical_fish: Beats - Lightweight shippers for Elasticsearch & Logstash

boot-uflo

springboot与UFLO审批插件整合

ddia

《Designing Data-Intensive Application》DDIA中文翻译

decision

Powered by Spark Streaming & Siddhi

ejml

A fast and easy to use linear algebra library written in Java for dense, sparse, real, and complex matrices.

elasticsearch-jdbc

A elasticsearch specified SQL interface on Java, no need to tweak your es instance.

esper

Esper Complex Event Processing and Event Series Analysis

fjinal

learn open source fJinal

flink-siddhi

A CEP library for Flink to run Siddhi within streaming application

frptables

监控frps日志文件，自定义规则，使用iptables拦截tcp连接的ip，防止暴力破解

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

git-recipes

:octocat: Git recipes in Chinese. 高质量的Git中文教程.

go-study-index

Go 语言学习资料索引

htm.java

Hierarchical Temporal Memory implementation in Java - an official Community-Driven Java port of the Numenta Platform for Intelligent Computing (NuPIC).

jlogstash

java 版本的logstash

jlogstash-filter-plugin

java 版本 logstash filter 插件

jlogstash-input-plugin

java 版本 logstash input 插件

jlogstash-output-plugin

java 版本 logstash output 插件

jpress

learn jfinal & jpress

leetcode

😎 LeetCode solutions in any programming language

lintcode

Java Solutions to problems on LintCode/LeetCode

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

mybatis

中文注释并附带图解架构

nightwatch

证券异常交易行为监控系统。九州证券系统开发部自主设计、研发的证券异常交易行为监控系统，采用Storm+Esper架构实现，支持金证交易系统的指令拦截 、复制与解析。

notepic

phantom-apps

Phantom Apps Repo

playbooks

Phantom Orchestration Playbooks

product-cep

Welcome to the WSO2 Complex Event Processor source code! For info on working with the WSO2 Complex Event Processor repository and contributing code, click the link below.

product-ml

Welcome to the WSO2 Machine Learner source code! For info on working with the WSO2 Machine Learner repository and contributing code, click the link below.