vicky1505-wlt's repositories
awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
SAR-GGCS
Code for reproducing most of the results in the paper[A Generalized Gaussian Coherent Scatterer Model for Correlated SAR Texture]
pgmpy
Python Library for Probabilistic Graphical Models
rarnop19
MIT 16.S498: Risk Aware and Robust Nonlinear Planning
MatlabFunc
Matlab codes for feature learning
Extended-target-PMBM-filter
An extended target Poisson multi-Bernoulli mixture filter using Gamma Gaussian inverse Wishart distribution
lihang-code
《统计学习方法》的代码实现
ladder_network_keras
Semi-Supervised Learning with Ladder Networks in Keras. Get 98% test accuracy on MNIST with just 100 labeled examples !
Pottslab
Multilabel image segmentation (color/gray/multichannel) based on the Potts model (aka piecewise constant Mumford-Shah model)
semantic_segment_RSImage
遥感影像深度学习语义分割
Subsampled-RTR
Subsampled Riemannian trust-region (RTR) algorithms
Keras-GAN
Keras implementations of Generative Adversarial Networks.
ultra-remotesensing-annotation
An annotation tool for Remote Sensing images, currently designed for target detection task. If any advice and bug, Please add issue, this tool will be developed in progress.
-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
pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
Wavelet-Packets-for-High-Resolution-SAR-images
Simulation done for TGRS paper: Design of New Wavelet Packets Adapted to High-Resolution SAR Images with an Application to Target Detection
DemonstrationANRPhoenix
A demonstration of robust change detection statistics in the context of SAR image Time Series
wishart-gibbs-kernel
A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings (ACML 2017)
SPDNet
GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.
Brain-Tissue-Segment-Keras
Network: FCN, U-Net, Unet+Resblock(DeepUNet), Squeeze+UNet, DenseNet+UNet(DenseUnet)...
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.
stochastic-em-shuffled-regression
Stochastic EM for Shuffled Regression
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
SemiSupervisedDLForFCNs
The official source code for the paper "Semi-supervised deep learning for fully convolutional networks", prototyped in MATLAB and using MatConvNet.
awesome-sar
A curated list of awesome Synthetic Aperture Radar (SAR) software, libraries, and resources.
LTR_LEC
Large-Scale Trust-Region Methods For Linear Equality Constrained Optimization
MARTA-GAN
MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification