ICA-AROMA Software Package: a data-driven method to identify and remove head motion-related artefacts from functional MRI data.

Automatic labeling of ICA components in Python.

Repository that gathers code for signal processing

Reusable neuroimaging pipelines using nipype

Independent component analysis for dimensionality reduction of hyperspectral images

工学博覧会 : 音源分離チーム

Python implementation of a stabilized ICA algorithm

A blind source separation package using non-negative matrix factorization and non-negative ICA

VAEs and nonlinear ICA: a unifying framework

Face Recognition with SVM classifier using PCA, ICA, NMF, LDA reduced face vectors

A python based Machine Learning project that separates two sounds intermixed.

Package for obtaining the referential signal from a set of unipolar iEEG data

Demo for PCA(Principal Component Analysis) & ICA(Independent Component Analysis) in data analysis in Python and image separation written in MATLAB

Class to filter EEG artifacts using WPT, ICA and EMD

This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (particularly, with Nonlinear ICA) can be used to extract the causal graph from an underlying structural equation model (SEM).

A shift scheduling project that drieved from genetic algorithm

School Project

Dataset for training EEG IC classifiers.

The ICA Part of Blind Source Separation Project

ICA integration for Home assistant