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san

Exploring Self-attention for Image Recognition, CVPR2020.

scikit-learn

scikit-learn: machine learning in Python

scikit-learn-doc-zh

scikit-learn（sklearn） 官方文档中文版

senet

Squeeze-and-Excitation Networks

sensor-specific-hyperspectral-image-feature-learning

Learning Sensor-Specific Spatial-Spectral Features of Hyperspectral Images via Convolutional Neural Networks

sepnet

Code for Automatic Segmentation of Organs-at-Risk from Head-and-Neck CT using Separable Convolutional Neural Network with Hard-Region-Weighted Loss.

ship

An open package for supervised hyperspectral image classification task.

sknet

some-question-in-install-scrapy

在安装scrapy过程中遇到的一些问题和安装的方法

sota-medseg

SOTA medical image segmentation methods based on various challenges

source

Matlab codes for spectral analysis (FFT, Pwelch spectrogram, Wavelet transform) based on Matlab built-in functions

sparse-plex

A MATLAB library for sparse representation problems

sparsegdlibrary

MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.2

sparsemem

Sparse suffix arrays for finding maximal exact matches in DNA or protein sequences.

spectral

Python module for hyperspectral image processing

src-rls

MATLAB code of the paper "Sparse Representation and Least Squares-Based Classification in Face Recognition", EUSIPCO 2014

ssm

手把手教你整合最优雅SSM框架：SpringMVC + Spring + MyBatis

ssun

Spectral-Spatial Unified Networks for Hyperspectral Image Classification

stellargraph

StellarGraph - Machine Learning on Graphs

supervised-spectral-spatial-hyperspectral-image-classification-with-weighted-markov-random-fields

the-craft-of-selfteaching

One has no future if one couldn't teach themself.

tianguoguoxiaopu

基于EastWorld的微信小程序商城

twsc-eccv2018

Matlab Code for "A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising, ECCV 2018".

vgae_nf

wavelet-transform-for-image-processing

Wavelet Transform for Image decomposition, Image reconstruction and Image denoising

wavelet-transformation-on-images

The wavelet transform is similar to the Fourier transform (or much more to the windowed Fourier transform) with a completely different merit function. The main difference is this:  Fourier transform decomposes the signal into sines and cosines, i.e. the functions localized in Fourier space; in contrary the wavelet transform uses functions that are localized in both the real and Fourier space.

wavelettools

Wavelet transform signal processing matlab toolbox

wechat

微信小程序商城，欢迎学习交流！

wgsim

Reads simulator