MNE-ICALabel
MNE-ICALabel: Automatically annotating ICA components with ICLabel in Python - Published in JOSS (2022)
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).
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).
cica
Code repository of the R package Clusterwise Independent Component Analysis
https://github.com/cognitiveneurolab/pipeline_eeg_to_erp_eeglab_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)
rica
Rica (Reports for ICA) provides an app to visualize ICA components and perform manual classification in an interactive way
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)