MNELAB – a GUI for MNE-Python

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

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).

Discovering Universal Geometry in Embeddings with ICA (Published in EMNLP 2023)

Repository that gathers code for signal processing

Reusable neuroimaging pipelines using nipype

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

Dataset for training EEG IC classifiers.

Independent component analysis for dimensionality reduction of hyperspectral images

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

Battery data analysis tools in Python

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

ICA integration for Home assistant

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

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.

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