I have 26 projects on Github
Misc Zemax tools for sequential optical analysis
Share files from wavefrontshaping.net
Datasets, Transforms and Models specific to Computer Vision
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
SwinIR: Image Restoration Using Swin Transformer
The repository contains the MATLAB codes requires for deconvolving an image with a spatially variant point response using a modified Richardson-Lucy algorithm with total variation regularisation and sample datasets.
Jekyll Themes / GitHub Pages 博客 / A repository for Jekyll based blog
Learning to See in the Dark using pytorch
This is the Pytorch implementation of "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"(RCAN)
pytorch implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802
Pytorch implementation for EDSR (CVPR2017)
All Algorithms implemented in Python
Simple module to find numerically propagation mode profiles and propagation constants of multimode fibers of arbitrary radial index profiles.
科学上网/自由上网/翻墙/软件/方法，一键翻墙浏览器，免费shadowsocks/ss/ssr/v2ray/goflyway账号/节点分享，vps一键搭建脚本/教程
Compute the vectorial model of guided modes in an optical multimode fiber (MMF) and simulate fiber transmission in different representations.
个人博客，看效果进入
计算机生成全息图(CGH)MATLAB函数库
Compute the scalar-field model of guided modes in a optical graded-index multimode fiber (GRIN-MMF) and simulate fiber transmission in different representations.
Tensorflow/keras implementation for image transformation from low-resolution (LR) image to super-resolved one, including single wide-field (WF) image super-resolution prediction and SIM reconstruction.
Lucy-Richardson deconvolution algorithm
Image hosting service for private blog
Machine learning classifier for cancer tissues 🔬
for personal blog comments.