Nonnegative Matrix Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning

Python implementation of Stone's blind source separation algorithm. Refer to his paper (cited in README) for details.

MADS: Model Analysis & Decision Support

Tensor Extraction of Latent Features (T-ELF). Within T-ELF's arsenal are non-negative matrix and tensor factorization solutions, equipped with automatic model determination (also known as the estimation of latent factors - rank) for accurate data modeling. Our software suite encompasses cutting-edge data pre-processing and post-processing modules.

MultiHU-TD: Multifeature Hyperspectral Unmixing Based on Tensor Decomposition

Localization of brain sources measured by EEG using 3 approaches: Gibbs sampler (Markov chain Monte Carlo algorithm), Minimum Norm Estimates (MNE) and Source Imaging based on Structured Sparsity (SISSY)

Official repository for "Blind Source Separation of Single-Channel Mixtures via Multi-Encoder Autoencoders".

A Python toolkit for sound source separation.

A repository of awesome Non-Intrusive Load Monitoring(NILM) with code.

Matlab GUI for uREPET, a simple user interface system for recovering patterns repeating in time and frequency in mixtures of sounds.

Matlab GUIs to demo the original REPET and REPET-SIM.

REPeating Pattern Extraction Technique (REPET) in Matlab for audio source separation: original REPET, REPET extended, adaptive REPET, REPET-SIM, REPET-SIM online

REPeating Pattern Extraction Technique (REPET) in Python for audio source separation: original REPET, REPET extended, adaptive REPET, REPET-SIM, online REPET-SIM

Tutorial on Independent Component Analysis

Blind Separation of Sparse Signals Diffused on Graphs

FBD: Multi-channel blind deconvolution with focusing constraints

Smart Tensors Tutorials

Fast implementations of FastICA and DUET for blind source separation

Visual Analytics for Temporal Blind Source Separation

Retina Imaging Toolbox (RIT)