A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)
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Updated
Jun 5, 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 EEG IC classification plugin for EEGLAB
Automatic labeling of ICA components in Python.
Repository that gathers code for signal processing
Using computational tools to explore the networks underlying cognitive neuroscience
Reusable neuroimaging pipelines using nipype
Matrix decomposition algorithms including PCA (principal component analysis) and ICA (independent component analysis)
Independent component analysis for dimensionality reduction of hyperspectral images
Visualisation of imperialistic competitive algorithm. Works in browser.
MNE-preprocessing is a python repository to reduce artifacts based on basic and unanimous approaches step by step from electroencephalographic (EEG) raw data.
My notes for Prof. Klaus Obermayer's "Machine Intelligence 2 - Unsupervised Learning" course at the TU Berlin
This repository proposes a python implementation of a stabilized ICA algorithm
General pipeline used for analyzing EEG data where Raw EEG data gets transformed into ERPS and Stats are done in R (Mixed effects models)
A blind source separation package using non-negative matrix factorization and non-negative ICA
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