Automatic labeling of ICA components in Python.
-
Updated
Dec 15, 2025 - Python
#
ica
Here are 43 public repositories matching this topic...
ICA-AROMA Software Package: a data-driven method to identify and remove head motion-related artefacts from functional MRI data.
-
Updated
May 17, 2024 - Python
Python implementation of a stabilized ICA algorithm
-
Updated
Nov 25, 2024 - Python
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).
machine-learning deep-neural-networks deep-learning deeplearning causality causal-inference ica independent-component-analysis causal-discovery structural-causal-model causal-discovery-methods
-
Updated
Sep 5, 2024 - Python
Discovering Universal Geometry in Embeddings with ICA (Published in EMNLP 2023)
embeddings pca emnlp principal-component-analysis whitening cross-lingual interpretability ica independent-component-analysis emnlp2023 isotropy
-
Updated
Jun 17, 2025 - Python
Repository that gathers code for signal processing
machine-learning signal-processing pca dimensionality-reduction data-processing nmf source-separation ica
-
Updated
Dec 6, 2019 - Python
Reusable neuroimaging pipelines using nipype
-
Updated
May 28, 2019 - Python
A blind source separation package using non-negative matrix factorization and non-negative ICA
python pca-analysis pca principal-component-analysis nmf bss source-separation blind-source-separation ica non-negative-matrix-factorization independent-component-analysis nmf-decomposition
-
Updated
May 31, 2021 - Python
A python based Machine Learning project that separates two sounds intermixed.
audio python machine-learning deep-learning machine-learning-algorithms pca unsupervised-learning blind-source-separation ica
-
Updated
Apr 20, 2018 - Python
Independent component analysis for dimensionality reduction of hyperspectral images
-
Updated
Jan 6, 2020 - Python
Dataset for training EEG IC classifiers.
-
Updated
Aug 29, 2021 - Python
Face Recognition with SVM classifier using PCA, ICA, NMF, LDA reduced face vectors
python sklearn artificial-intelligence decomposition pca dimensionality-reduction face-recognition lda principal-component-analysis nmf svm-classifier eigenfaces fisherfaces svc linear-discriminant-analysis ica independent-component-analysis nonnegative-matrix-factorization lfw-dataset labelled-faces
-
Updated
Nov 22, 2022 - Python
Battery data analysis tools in Python
-
Updated
Dec 16, 2025 - Python
Demo for PCA(Principal Component Analysis) & ICA(Independent Component Analysis) in data analysis in Python and image separation written in MATLAB
-
Updated
Nov 18, 2019 - Python
Welcome to my repository dedicated to enhancing the clarity and quality of EEG (Electroencephalography) data through innovative noise reduction methodologies. This project lies at the confluence of neuroscience and data science, representing a significant leap in EEG signal processing.
-
Updated
Dec 21, 2023 - Python
A shift scheduling project that drieved from genetic algorithm
-
Updated
May 23, 2023 - Python
Improve this page
Add a description, image, and links to the ica topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the ica topic, visit your repo's landing page and select "manage topics."