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-crop-classification

在有少量样本的情况下，对含有三种农作物和背景的一幅多光谱图像进行农作物分类

2013-siims-gaussian-textures

G-S. Xia, S. Ferradans, G. Peyré, J-F. Aujol. Synthesizing and Mixing Stationary Gaussian Texture Models. SIAM Journal on Imaging Sciences, 7(1), pp. 476–508, 2014.

awesome-decision-tree-papers

A collection of research papers on decision, classification and regression trees with implementations.

awesome-sar

A curated list of awesome Synthetic Aperture Radar (SAR) software, libraries, and resources.

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

bayes_cglpm-code

brain-tissue-segment-keras

Network: FCN, U-Net, Unet+Resblock(DeepUNet), Squeeze+UNet, DenseNet+UNet(DenseUnet)...

cond_iw_w_rng

Drawing samples from inverse Wishart distributions conditioning on the 1st block diagonal sub-matrix

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

demonstrationanrphoenix

A demonstration of robust change detection statistics in the context of SAR image Time Series

dpmm

Dirichlet Process Mixture Model sampling-based inference algorithms

dpmm-1

Dirichlet process mixture model code in Matlab. Sampling and variational.

edges

Structured Edge Detection Toolbox

entrust

Trust-Region Optimization in Matlab (allows for bound constraints on design variables)

extended-target-pmbm-filter

An extended target Poisson multi-Bernoulli mixture filter using Gamma Gaussian inverse Wishart distribution

gans_image_classification_keras

generate-random-numbers-subject-to-the-specified-distribution

生成服从指定分布的随机数

gmcm_rep

Gaussian Mixture Copula Model

hmm-moment-classification

Generative classification of discrete time series using Hidden Markov Models and a composite likelihood based on third-order moments

hsic_toolbox

Matlab Hyperspectral Image Classification Toolbox. This toolbox included object-oriented data model of hyperspectral image for classification purpose. Moreover, some state-of-art classification methods will be included.

keras-gan

Keras implementations of Generative Adversarial Networks.

kernelcut

kernelestimationgit

ladder_network_keras

Semi-Supervised Learning with Ladder Networks in Keras. Get 98% test accuracy on MNIST with just 100 labeled examples !

lihang-code

《统计学习方法》的代码实现

lihang_book_algorithm

致力于将李航博士《统计学习方法》一书中所有算法实现一遍

locnet

LocNet: Improving Localization Accuracy for Object Detection

ltr_lec

Large-Scale Trust-Region Methods For Linear Equality Constrained Optimization

marta-gan

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

matconvnet-fcn

A MatConvNet-based implementation of the Fully-Convolutional Networks for image segmentation