ica

mne-tools/mne-icalabel

Automatic labeling of ICA components in Python.

maartenmennes/ICA-AROMA

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

trendscenter/gift

Group ICA/IVA software (MATLAB)

sccn/ICLabel

Automatic EEG IC classification plugin for EEGLAB

ilkhem/iVAE

VAEs and nonlinear ICA: a unifying framework

trendscenter/fit

Fusion ICA Toolbox (MATLAB)

RicardoDominguez/EEG-analysis

Process and analyse EEG brain signals using EEGlab

karnigili/Computational-Neuroscience

Using computational tools to explore the networks underlying cognitive neuroscience

rpatrik96/ima-vae

This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivalent to optimizing the IMA-regularized log-likelihood under certain assumptions (e.g., small decoder variance).

voax/quizzer

🍻 A pub quiz web application built using the MERN stack with websockets for near real-time quiz action

ncaptier/stabilized-ica

Python implementation of a stabilized ICA algorithm

kayoyin/signal-processing

Repository that gathers code for signal processing

olafdimigen/OPTICAT

Create optimized ICA training (OPTICAT) data for EEG data recorded during free viewing (Dimigen, 2020, NeuroImage)

petabi/petal-decomposition

Matrix decomposition algorithms including PCA (principal component analysis) and ICA (independent component analysis)

AGhaderi/MNE-Preprocessing

MNE-preprocessing is a python repository to reduce artifacts based on basic and unanimous approaches step by step from electroencephalographic (EEG) raw data.

esra-polat/rPPG-heart-rate-estimation-traditional-method

Neurita/pypes

Reusable neuroimaging pipelines using nipype

rpatrik96/nl-causal-representations

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).

shimo-lab/Universal-Geometry-with-ICA

Discovering Universal Geometry in Embeddings with ICA

kevmtan/electroCUDA

Robust electrophysiology tools with GPU acceleration

EnayatAria/ICA-based-band-selection-HSI

Independent component analysis for dimensionality reduction of hyperspectral images

kashefy/mi2notes

My notes for Prof. Klaus Obermayer's "Machine Intelligence 2 - Unsupervised Learning" course at the TU Berlin

marcromani/cocktail

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

Vasu7052/Blind-Source-Seperation

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

lucapton/ICLabel-Dataset

Dataset for training EEG IC classifiers.

DouweHorsthuis/EEG_to_ERP_pipeline_stats_R

General pipeline used for analyzing EEG data where Raw EEG data gets transformed into ERPS and Stats are done in R (Mixed effects models)

seby-sbirna/Cognitive-Modeling

This repository contains the collection of Cognitive Science computation modeling projects made for the DTU Human-Centered AI course 02458: Cognitive Modeling

tulsyanp/tcd-ai-group-project

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

Alan-D-Chen/PCA_ICA_DEMO

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

dennisgranasen/ha-ica-todo

ICA integration for Home assistant

TRAN-Gia-Quoc-Bao/Project-Automotive-Control-using-Surface-Electromyography

My work during the research internship "Automotive Control using Surface Electromyography" at The University of Tokyo, Jun.-Sep. 2020

kevmtan/EEG-ICA-pipeline

ICA preprocessing & source localization for EEG. Please read wiki for detailed info:

ML-D00M/ISC-Inter-Subject-Correlations

Inter-Subject Correlations (ISC) technique for analyzing neural data (EEG and MEG)

AryaKoureshi/EEG-Signal-Processing-GEVD-DSS

This repository contains my project focused on exploring and implementing Generalized Eigenvalue Decomposition (GEVD) and Denoising Source Separation (DSS) methods in signal processing.

gustaveroussy/CFS

R package using ICA based method for spatial transcriptomics analysis (Visium/Slide-seq/CosMX/MERSCOPE)