mix

iOS混淆加固差异化翻新加密工具，模拟人工手动混淆，识别上下文 ，支持继承链、类型识别、方法多参等复杂高级混淆。source-to-source obfuscation of iOS projects，Xcode's refactor->rename. 告别插入毫无关联的垃圾代码、弃用无脑单词随机拼接替换，模拟正常开发，一款最好的混淆最彻底的Mac App Tools。支持OC(Objc、Objective-C)、C、C++(Cocos2d-x、Cocos2dx和Lua游戏开发)、Swift、C#(Unity)混淆，可用于ios马甲包游戏SDK混淆，减少账号调查过机审上架过包过审4.3、2.3.1、2.1

☄️ PHP CLI mode development framework, supports Swoole, WorkerMan, FPM, CLI-Server / PHP 命令行模式开发框架，支持 Swoole、Swow、WorkerMan、FPM、CLI-Server

Elixir plugin for JetBrain's IntelliJ Platform (including Rubymine)

✨ Standard Toolkit for Go fast development / Go 快速开发标准工具包

iOS混淆、iOS代码混淆工具、iOS马甲包、iOS马甲工具、iOS上架、iOS过审工具、iOS翻新工具、iOS重命名、iOS差异化工具,过4.3,避免2.3.1,混淆结果接近手工翻新,支持OC所有语法的差异化,支持文件名、类、分类、方法、属性、Protocol、宏、Block、静态变量、枚举等符号的差异化,支持png、jpg、plist、bundle、xib、storyborad等资源关联代码、方法名、类名的差异化修改。 iOS confuse、iOS code mix、iOS obscure tool、iOS Majia tool、iOS rename、iOS code retread tool、iOS code differ helper,the confused result approach manual rename,support all OC syntax

A tiny (~500B) JavaScript library that allows you to set default values for nested objects

A tiny (~500B) JavaScript library that allows you to set default values for nested objects

【iOS代码混淆】ZFJObsLib主要是通过Python写的混淆工具，具体功能有方法混淆、属性混淆、类名混淆、添加垃圾代码、自动创建垃圾类、删除注释、修改资源文件Hash值、加密字符串、翻新资源名、模拟人工混淆、混淆文件名、混淆文件目录、混淆词库、混淆日志、映射列表、敏感词过滤、图片压缩、爬虫服务、修改项目名、翻新项目UUID等等!!

Create automatic playlists by using Deep Learning to *listen* to the music.

Create automatic playlists by using Deep Learning to *listen* to the music.

Put your Elixir app production release inside minimal docker image

🍇 Get the tints and shades of a color

This GIT repo (C language) holds applications and utilities for the Behringer X32 and M32 mixing consoles. Additional details, documentation, implementation examples and apps can be found in my website:

This GIT repo (C language) holds applications and utilities for the Behringer X32 and M32 mixing consoles. Additional details, documentation, implementation examples and apps can be found in my website:

Find unused functions in your project

大家好，这是cv调包侠开源原创项目，您可以特别方便地通过我的auto-Maker实现目标检测数据集的实时生成，包括：实时数据采集、自动标注、转换、增强，并可以直接进行yolov3、yolov4、yolov5、eficientdet等，它可以直接导出到onnx，通过openvino和tensor-RT加速，除了检测外，还支持分类算法，可以在一分钟内完成图像的智能分类。欢迎来star Hello everyone, this is me: cver open source original project, you can particularly convenient through my auto_ Maker realizes the real-time production of target detection data set, including: real data acquisition, automatic annotation, conversion, enhancement, and can directly carry out yolov3, yolov4 , yolov5, eficientdet, etc., which can be directly exported to onnx and accelerated by openvino and tensor RT. besides detection, it also supports classification algorithm, which can complete intelligent classification of images in one minute. Welcome to star~

⚗️ Build Gleam code with mix

Add preload and prefetch links based your Mix manifest

Library of mix tasks to deploy an Elixir release to servers (cloud instance or bare metal, automated deploy)