A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)
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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 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
Independent component analysis for dimensionality reduction of hyperspectral images
工学博覧会 : 音源分離チーム
Matrix decomposition algorithms including PCA (principal component analysis) and ICA (independent component analysis)
This repository proposes a python implementation of a stabilized ICA algorithm
My notes for Prof. Klaus Obermayer's "Machine Intelligence 2 - Unsupervised Learning" course at the TU Berlin
General pipeline used for analyzing EEG data where Raw EEG data gets transformed into ERPS and Stats are done in R (Mixed effects models)
MNE-preprocessing is a python repository to reduce artifacts based on basic and unanimous approaches step by step from electroencephalographic (EEG) raw data.
Visualisation of imperialistic competitive algorithm. Works in browser.
A blind source separation package using non-negative matrix factorization and non-negative ICA
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