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Collection of inverse problems in image processing via Alternating Direction Method (ADM), Alternating Minimization Method (AMA), Group Sparse signal denoising and Majorization-Minimization optimization based image/signal processing
【Java学习+面试指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
Jethro's Image Processing Software.Super-Resolution Reconstruction is the most import feature in this software. It’s achieved by the algorithm Single-Image Super Resolution, based on theory of Compressed Sensing. This algorithm uses OMP (Orthogonal Matching Pursuit) to compute the sparse coding of images, K-SVD (K-means Singular Value Decomposition) to learn over-complete dictionary. With the collaboration between OMP and over-complete dictionary, low resolution image can be scaled-up and its high frequency information (texture, edge) can be recovered at some level. The result is better than simple interpolation, eg, linear interpolation, bi-cubic interpolation, etc. This algorithm is implemented using C++&OpenCV. The other features of this software are also implemented using C++&OpenCV. The GUI is designed using QT.
Keras implementations of Generative Adversarial Networks.
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)
A Library of ADMM for Sparse and Low-rank Optimization
Machine Learning Training stuff
A full-featured download manager.
NR-GAN: Noise Robust Generative Adversarial Networks
《On Java 8》中文版,又名《Java编程**》 第5版
OTSLM Toolbox for Structured Light Methods
Code for paper "Plug and Play Generative Networks"
Julia wrapper for Primme: Preconditioned Iterative Multimethod Eigensolver
Collection of reproducible deep learning for compressive sensing
Collection of popular and reproducible image denoising works.
Single pixel imaging system with deep learning
ML library with emphasis on the sparse linear model.
This repository contains Matlab scripts and functions for single-pixel imaging
This is an implementation of the algorithm for calculating the Structural SIMilarity (SSIM) index between two images.
Collection of generative models in Tensorflow
Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.
A crash course in six episodes for software developers who want to become machine learning practitioners.
A MATLAB toolbox for building first-order solvers for convex models.
A list of all named GANs!
Numerical prof of principle of thermal ghost imaging
TiantongWavelet
simulation in Matlab
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.