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【Hello CTF】专为CTF比赛封装的虚拟机，基于工具集封装多个版本和系统，更多选择，开箱即用。比赛愉快！
【Hello CTF】题目配套，免费开源的CTF入门教程，针对0基础新手编写，同时兼顾信息差的填补，对各阶段的CTFer都友好的开源教程，致力于CTF和网络安全的开源生态！
这是一个faster-rcnn的pytorch实现的库，可以利用voc数据集格式的数据进行训练。
🚀 fullstack tutorial 2022，后台技术栈/架构师之路/全栈开发社区，春招/秋招/校招/面试
A PyTorch Implementation of Single Shot MultiBox Detector
mini-spring是简化版的spring框架，能帮助你快速熟悉spring源码和掌握spring的核心原理。抽取了spring的核心逻辑，代码极度简化，保留spring的核心功能，如IoC和AOP、资源加载器、事件监听器、类型转换、容器扩展点、bean生命周期和作用域、应用上下文等核心功能。
A custom RPC framework implemented by Netty+Kyro+Zookeeper.（一款基于 Netty+Kyro+Zookeeper 实现的自定义 RPC 框架-附详细实现过程和相关教程。）
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
High quality, fast, modular reference implementation of SSD in PyTorch
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
The state-of-the-art image restoration model without nonlinear activation functions.
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Awesome List of Attention Modules and Plug&Play Modules in Computer Vision
Paper and implementation of UNet-related model.
Go 学习之路：Go 开发者博客、Go 微信公众号、Go 学习资料（文档、书籍、视频）
This repo contains the official training and testing codes for our paper: GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing.
Contrastive Learning for Compact Single Image Dehazing, CVPR2021
Implementation of "Gated Context Aggregation Network for Image Dehazing and Deraining"
Zeyuan Chen, Yangchao Wang, Yang Yang and Dong Liu. "PSD: Principled Synthetic-to-Real Dehazing Guided by Physical Priors". IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.