A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)
-
Updated
Apr 17, 2024 - Julia
A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)
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.
Automatic EEG IC classification plugin for EEGLAB
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).
Using computational tools to explore the networks underlying cognitive neuroscience
Create optimized ICA training (OPTICAT) data for EEG data recorded during free viewing (Dimigen, 2020, NeuroImage)
Repository that gathers code for signal processing
This repository proposes a python implementation of a stabilized ICA algorithm
Reusable neuroimaging pipelines using nipype
MNE-preprocessing is a python repository to reduce artifacts based on basic and unanimous approaches step by step from electroencephalographic (EEG) raw data.
Discovering Universal Geometry in Embeddings with ICA
A python based Machine Learning project that separates two sounds intermixed.
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).
Add a description, image, and links to the ica topic page so that developers can more easily learn about it.
To associate your repository with the ica topic, visit your repo's landing page and select "manage topics."