tr1912 Goto Github PK

apk-parser

Apk parser for java

autobuilddocfromdb

使用SQL文件自动生成markdown格式的数据库文档。

back-manage

Back-stage management and base on angular2

big-data-visualization-system

bitcoinbook

Mastering Bitcoin 2nd Edition - Programming the Open Blockchain

chromeappheroes

🌈Chrome插件英雄榜, 为优秀的Chrome插件写一本中文说明书, 让Chrome插件英雄们造福人类~ ChromePluginHeroes, Write a Chinese manual for the excellent Chrome plugin, let the Chrome plugin heroes benefit the human~

cmder

Lovely console emulator package for Windows

cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

control-scheduled

可控定时操控面板

datax-web

DataX集成可视化页面，选择数据源即可一键生成数据同步任务，支持批量创建RDBMS数据同步任务，集成开源调度系统，支持分布式、增量同步数据、实时查看运行日志、监控执行器资源、KILL运行进程、数据源信息加密等。

ddd-cargo

fatsmalltools

胡乱写的一些小工具

fucking-algorithm

手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.

ieasemusic

网易云音乐第三方

intellij-idea-tutorial

IntelliJ IDEA 简体中文专题教程

java-study

从java基础到数据库到运维,以及一些工具的使用等等, 欢迎补充

moco

Easy Setup Stub Server

neteasecloudmusicapi

网易云音乐 Node.js API service

officetoolplus

pentaho-kettle

Pentaho Data Integration ( ETL ) a.k.a Kettle

picocli

Picocli is a modern framework for building powerful, user-friendly, GraalVM-enabled command line apps with ease. It supports colors, autocompletion, subcommands, and more. In 1 source file so apps can include as source & avoid adding a dependency. Written in Java, usable from Groovy, Kotlin, Scala, etc.

samples-for-ai

Samples for getting started with deep learning across TensorFlow, CNTK, Theano and more.

spractice

A springboot practice project

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

todo-cli

totipotent

研究型项目，聚合了很多组件，以框架的形式展示

tr1912.github.io

my website and blog

transaction-single

探究单体项目的数据库和java代码事务的效果写法的项目

vscode-markdown

Markdown All in One

vscode-tools-for-ai

VS Code Tools for AI is an extension to build, test, and deploy Deep Learning / AI solutions. It seamlessly integrates with Azure Machine Learning for robust experimentation capabilities, including but not limited to submitting data preparation and model training jobs transparently to different compute targets. Additionally, it provides support for custom metrics and run history tracking, enabling data science reproducibility and auditing. Enterprise ready collaboration, allow to securely work on project with other people.