Automatic labeling of ICA components in Python.

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

VAEs and nonlinear ICA: a unifying framework

Python implementation of a stabilized ICA algorithm

Repository that gathers code for signal processing

Discovering Universal Geometry in Embeddings with ICA

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).

Reusable neuroimaging pipelines using nipype

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

Independent component analysis for dimensionality reduction of hyperspectral images

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

Dataset for training EEG IC classifiers.

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

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

ICA integration for Home assistant

Class to filter EEG artifacts using WPT, ICA and EMD

A Python package for programming with Dynamsoft Service, supporting scanning documents from TWAIN, WIA, ICA, SANE and eSCL scanners.

A shift scheduling project that drieved from genetic algorithm

工学博覧会 : 音源分離チーム

Welcome to my repository dedicated to enhancing the clarity and quality of EEG (Electroencephalography) data through innovative noise reduction methodologies. This project lies at the confluence of neuroscience and data science, representing a significant leap in EEG signal processing.