yuanhanglin Goto Github PK

-superpixel-guided-weighted-low-rank-representation-for-nonlinear-hyperspectral-unmixing

awesome-cpp-cn

C++ 资源大全中文版，标准库、Web应用框架、人工智能、数据库、图片处理、机器学习、日志、代码分析等

bilinear_unmixing

Matlab code for blind sparse nonlinear hyperspectral unmixing

cbl-project

cs-notes

:books: 技术面试必备基础知识、Leetcode 题解、后端面试、Java 面试、春招、秋招、操作系统、计算机网络、系统设计

datadependentsuvarrelease

codes for the paper "A Data Dependent Multiscale Model for Hyperspectral Unmixing With Spectral Variability", IEEE TIP 2020

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

entmax

The entmax mapping and its loss, a family of sparse softmax alternatives.

googletest

Googletest - Google Testing and Mocking Framework

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

graph-based-nn

Graph Convolutional Networks (GCNs)

head_first_series_books

This Repo contain Head First series eBook.

how-to-write-makefile

跟我一起写Makefile重制版

hsi_nonlinear_unmixing_lr-ntf

A hyperspectral nonlinear unmixing method LR-NTF

hyperspectral-classification

Hyperspectral-Classification Pytorch

lnp

Label propagation through linear neighborhoods(with Python)

mac_u

codes for the paper "Model-based deep autoencoder networks for nonlinear hyperspectral unmixing", IEEE GRSL 2021

mlmp

an unsupervised nonlinear unmixing algorithm based on multi-linear mixture (MLM) model

nae

Implementation of paper "Nonlinear Unmixing of Hyperspectral Data via Deep Autoencoder Networks" (GRSL 2019)

nonlinear-hyperspectral-unmixing-autoencoder

An autoencoder that performs nonlinear pixel unmixing on hyperspectral images (based on the Fan, Bilinear, PPNM models, and also higher order nonlinear terms)

nonlinearunmixingvector

This demo reproduces the results reported in the paper "Nonlinear unmixing of hyperspectral data with vector-valued kernel functions," R. Ammanouil, A. Ferrari, C. Richard and S. Mathieu 2016 IEEE Transactions on Image Processing (To appear).

programming_elixir

Elixir的入门（语言层面）知识

python-cheatsheet

Comprehensive Python Cheatsheet

pytorch-cifar

95.16% on CIFAR10 with PyTorch

pytorch-sample-codes

pytorch-tutorial

Build your neural network easy and fast

robust-nmf

Python PyTorch (GPU) and NumPy (CPU)-based port of Févotte and Dobigeon's robust-NMF algorithm appearing in "Nonlinear hyperspectral unmixing with robust nonnegative matrix factorization."

sparse-structured-attention

Sparse and structured neural attention mechanisms

sparsegen

Code for the NeurIPS 2018 paper "On Controllable Sparse Alternatives to Softmax"

spatio-temporal-paper-list

Spatio-temporal modeling 论文列表（主要是graph convolution相关)