Preconditioned ICA for Real Data

Several maximum likelihood ICA algorithms, including Picard

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).

Discovering Universal Geometry in Embeddings with ICA

A blind source separation package using non-negative matrix factorization and non-negative ICA

Independent component analysis for dimensionality reduction of hyperspectral images

Face Recognition with SVM classifier using PCA, ICA, NMF, LDA reduced face vectors

Blind source separation of real signals

A Python library for blind source separation.

Demo for PCA(Principal Component Analysis) & ICA(Independent Component Analysis) in data analysis in Python and image separation written in MATLAB

Python versions of Independent Vector Analysis (IVA-G and IVA-L-SOS).

ICIP 2019 - Determining Heart Rate from Facial Video - Robust to motion and illumination interferences!

ICA-AROMA, as a Python package. A work in progress.

Independent Component Analysis for Audio Signals using Natural Gradient Descent Algorithm

The ICA Part of Blind Source Separation Project

Project done as part of the course on Probabilistic Graphical Models by Pierre Latouche and Pierre-Alexandre Mattei. JAX Implementation of the FastICA algorithm, a Newton's descent algorithm for linear ICA, and a Flax implementation of VAE for non-linear ICA.

Application of unsupervised learning and dimensionality reduction towards multiple problem sets.

Mutual information least-dependent component analysis

A Python project using Independent Component Analysis (ICA) to separate mixed audio signals and classify the separated sources. Includes signal processing, feature extraction, and classification techniques.