适用于AdGuard、Quantumult X、SmartDNS的去广告规则，合并优质上游规则并去重整理排列。

Actions自动预约i茅台

A simple demo of yolov5s running on rk3588/3588s using c++ (about 142 frames). / 一个使用c++在rk3588/3588s上运行的yolov5s简单demo(142帧/s)。

YOLOv5 in PyTorch > ONNX > CoreML > TFLite

Program to decode radio transmissions from devices on the ISM bands (and other frequencies)

Qt-based digital signal analyzer, using Suscan core and Sigutils DSP library

encode & decode binary frequency-shift keyed signals to/from data

M5Core2 Weather Dashboard based on LVGL.

微信小程序-活动报名

PowerShell Obfuscator

Encodes a PowerShell script in the pixels of a PNG file and generates a oneliner to execute

generate CobaltStrike's cross-platform payload

List of Awesome CobaltStrike Resources

美团饿了吗外卖红包外卖优惠券，先领红包再下单。外卖红包优惠券，cps分成，别人领红包下单，你拿佣金。

美团饿了么联盟CPS推广赚钱的uniapp小程序，支持微信小程序和H5，技术变现利器

外卖优惠券小程序—吃喝优惠券前后端完整代码开源，真正的6个点消费额推广美团优惠券和饿了么优惠券，支持H5，可视化后台支持任意添加带有活动页面的CPS项目，花小猪，各种社区团购等

原生小程序云开发，别人领外卖券，你拿佣金，轻松赚个零花钱

外卖领券小程序

A list of useful payloads and bypass for Web Application Security and Pentest/CTF

A collection of custom security tools for quick needs.

渗透测试常规操作记录

SecLists is the security tester's companion. It's a collection of multiple types of lists used during security assessments, collected in one place. List types include usernames, passwords, URLs, se…

A beautiful hexo blog theme with material design and responsive design.一个基于材料设计和响应式设计而成的全面、美观的Hexo主题。国内访问：http://blinkfox.com

使用docker快速搭建各大漏洞靶场，目前可以一键搭建17个靶场。

This repository contains pre-compiled binaries of the current Raspberry Pi kernel and modules, userspace libraries, and bootloader/GPU firmware.

💎1MB lightweight face detection model (1MB轻量级人脸检测模型)

The world's simplest facial recognition api for Python and the command line

An open source library for face detection in images. The face detection speed can reach 1000FPS.

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).