jizhongpeng Goto Github PK

compressed-sensing-2

The term Compressed Sensing was conceived by David L. Donoho in 2006. With the leverage of extra information in terms of sparsity, the signal can be reconstructed without performing the usual steps of the Nyquist-Shannon reconstruction algorithm. A wide variety of signals including bio-signals, medical images, and radar signals are sparse in one or more domains.

compressedsensing

Good code for CS.

compressive-sensing

Master Thesis - Microscopic object image reconstruction using compressive sensing method.

compressive-sensing-and-dictionary-learning

compressivesensingdictionarylearning

Compressive Sensing using Sparse Dictionary Learning

cotta

[CVPR22] CoTTA Code for our CVPR 2022 paper Continual Test-Time Domain Adaptation

crawler

a web crawler

crawlers

Some crawlers u know it:-)

cs

compressed sensing; scripts for "Applying compressed sensing to genome-wide association studies"

cs-recovery-algorithms

cs133swissknife

Contains class-room examples and templates for my CS133 class on advanced C++ programming at ShanghaiTech.

cs224n

CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017

cs259-compressive-sensing

UCLA Winter 2011 CS259 Benchmark: Compressive Sensing

csgm

Code to reproduce results from the paper: "Compressed Sensing using Generative Models".

csnet

The deep Learning network based on Compressive Sensing

cstoolbox

Python Toolbox for Compressive Sensing

curvelet-denoising

Example script and necessary functions to perform curvelet denoising using MATLAB

daedalus

No root required Android DNS modifier and Hosts/DNSMasq resolver.

daslab

Distributed acoustic sensing lab developed @ RITE CO2 Storage Research Group

dbow2

Enhanced hierarchical bag-of-word library for C++

deep-generalized-unfolding-networks-for-image-restoration

Accepted by CVPR 2022

deep-image-prior

Image restoration with neural networks but without learning.

deep-k-svd

deep-learning

深度学习/人工智能/机器学习资料汇总(Deep Learning/Artificial Intelligent/Machine Learning) 持续更新……

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deep-music-autoencoder

The repo involves a Deep Learning method, Stacked Denoising Autoencoder. The repo exploits "paracel", which is a new parallel computing framework

deep-residual-networks

Deep Residual Learning for Image Recognition

deepcassi

[SIGGRAPH Asia 2017] High-Quality Hyperspectral Reconstruction Using a Spectral Prior

deepcubenetpublic

Reconstruction of CS Hyperspectral Images using deep learning

deepiot

DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework