Starter kit for getting started in the Music Demixing Challenge.

Distributed NMF/NTF Library

Create and explore isolated tracks from music files

Python library for hyperspectral analysis focused on spectroscopic approach.

An open-source hyperspectral unmixing python package

Official implementation of EDAA (TIP 2023)

sparse and fully constrained spectral unmixing algorithm

SSABN：Spatial-spectral Attention Bilateral Network for Hyperspectral Unmixing.

Demucs wrapper for remixing audio files with additional customizations

Hyperspectral image Processing and Classification. This repository provides my solution for Project assignment for the course of Machine Learning and Computational Statistics for the MSc in Data Science at Athens University of Economics and Business.

Hyperspectral unmixing using Variational Autoencoders with Dirichlet latent distributions, achieving state-of-the-art performance on endembers and abundances reconstruction.

Extended Blind End-member and Abundance Estimation with Total Variation

Matlab implementation of Nonlinear Extended Blind End-member and Abundance Extraction

This is the offical implementation for our paper "3D autoencoder algorithm for lithological mapping using ZY-1 02D hyperspectral imagery: a case study of Liuyuan region"

Source code of "GPU Parallel Implementation of Dual-Depth Sparse Probabilistic Latent Semantic Analysis for Hyperspectral Unmixing"

Python package for unmixing hyperspectral data

Sparse Unmixing using Archetypal Analysis

TGRS17-Spatial Group Sparsity Regularized NMF for Hyperspectral Unmixing

This repository is the official data source for the paper "Advancing blind hyperspectral unmixing in remote sensing: comparing deep-inspired subspace learning methods" by G. Settembre, F. Esposito, N. Del Buono

Scripts to create an Opal unmixing matrix and applying it to unmixed raw qptiff files. Exporting unmixed images to ome.tiff