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algo

数据结构和算法必知必会的50个代码实现

algorithms-and-data-structures

算法与数据结构---知识荟萃【欢迎 watch，有兴趣点个 star，千万别 fork ！！！】

architect-awesome

后端架构师技术图谱

awesome-cvpr2021-cvpr2020-low-level-vision

A Collection of Papers and Codes for CVPR2021/CVPR2020 Low Level Vision

down_52pojie_cn

A single page file explorer that can be hosted on static website. 吾爱破解论坛 爱盘 https://down.52pojie.cn/ 页面的源代码

edsr-tensorflow

Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution

git-recipes

🥡 Git recipes in Chinese by Zhongyi Tong. 高质量的Git中文教程.

git-tips

:trollface:Git的奇技淫巧

hotftp

FTP协议服务器JAVA实现，实现主动模式被动模式，纯java没有任何第三方包，多线程处理，方便嵌入项目。

image-processing-datasets

leetcode

:pencil2: LeetCode solutions in C++ 11 and Python3

leetcode-1

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

leetcode-2

LeetCode Problems' Solutions

leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

magic-python

Python 黑魔法手册

markdown_tool

🕹一键生成指定格式markdown文件的小工具，扩展性差但是思路是共同的。主要是为了一键生成我总结算法题的md文件框架

matlab--

Matlab-图像处理系统，图像增强，图像去噪，图像加噪，图像旋转，甚至还会画爱心~

maxim

[CVPR 2022 Oral] Official repository for "MAXIM: Multi-Axis MLP for Image Processing". SOTA for denoising, deblurring, deraining, dehazing, and enhancement.

maxim_pytorch

[CVPR 2022 Oral] MAXIM: Multi-Axis MLP for Image Processing Pytorch version of Maxim's model

maxim_pytorch-1

mbcnn_torch_demoire

torch18 version, MBCNN demoire,

mprnet

[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.

programming-notebook

:notebook_with_decorative_cover: 编程笔记 & 代码

pythonhackingbook1

Python黑客编程之极速入门

readpaper

restormer

[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

sirentanqiu

一个很简单的《四人弹球》游戏

temp

tuanmaon

一个可以批处理数字图像的迷你系统，可以当做处理大规模图片数据的一个蓝本程序。

uhdm

(ECCV2022) This is the official PyTorch implementation of ECCV2022 paper: Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoireing