probie0's starred repositories
Awesome-Hacking
A collection of various awesome lists for hackers, pentesters and security researchers
awesome-cpp
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
awesome-courses
:books: List of awesome university courses for learning Computer Science!
leetcode-master
《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀
ZeroTierOne
A Smart Ethernet Switch for Earth
PythonPark
Python 开源项目之「自学编程之路」,保姆级教程:AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。
raft-zh_cn
Raft一致性算法论文的中文翻译
mini-spring
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。
dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
monodepth2
[ICCV 2019] Monocular depth estimation from a single image
mjpg-streamer
Fork of http://sourceforge.net/projects/mjpg-streamer/
pytorch-ssim
pytorch structural similarity (SSIM) loss
java-study
java-study 是本人学习Java过程中记录的一些代码!从Java基础的数据类型、jdk1.8的Lambda、Stream和日期的使用、 IO流、数据集合、多线程使用、并发编程、23种设计模式示例代码、常用的工具类, 以及一些常用框架,netty、mina、springboot、kafka、storm、zookeeper、redis、elasticsearch、hbase、hive等等。
SemiGlobalMatching
SGM,立体匹配StereoMatching最经典应用最广泛算法,4000+引用,兼顾效率和效果。完整实现,代码规范,注释清晰,博客教学,欢迎star!
ModelArts-Lab
ModelArts-Lab是示例代码库。更多AI开发学习交流信息,请访问华为云AI开发者社区:huaweicloud.ai
MonoDepth-PyTorch
Unofficial implementation of Unsupervised Monocular Depth Estimation neural network MonoDepth in PyTorch
pytorch-msssim
PyTorch differentiable Multi-Scale Structural Similarity (MS-SSIM) loss
lu-raft-kv
Raft算法 最简易Java实现
Damage_Detection_MaskRCNN
This repository focuses on the automation of blade inspection, using different Computer Vision (CV) approaches and methods to detect damage on the wind turbine blades.
ssim-pytorch
Structural Similarity Index (SSIM) Module for Pytorch
TurbineDefectDector
Wind Turbine Surface Damage Detection using Deep Learning Algorithm