independent-component-analysis

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je-suis-tm /machine-learning

Star260

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, F…

naive-bayes expectation-maximization support-vector-machine ridge-regression expectation-maximization-algorithm factor-analysis dbscan em-algorithm linear-discriminant-analysis stochastic-gradient-descent latent-semantic-analysis lasso-regression multinomial-naive-bayes singular-value-decomposition batch-gradient-descent sequential-minimal-optimization newton-method low-rank-approximation independent-component-analysis k-nearest-neighbors

UpdatedDec 16, 2022
Jupyter Notebook

nay0648 /unified2021

Star122

A UNIFIED SPEECH ENHANCEMENT FRONT-END FOR ONLINE DEREVERBERATION, ACOUSTIC ECHO CANCELLATION, AND SOURCE SEPARATION

blind-source-separation independent-component-analysis dereverberation independent-vector-analysis acoustic-echo-cancellation

UpdatedJun 18, 2022
MATLAB

mind-inria /picard

Star115

Preconditioned ICA for Real Data

independent-component-analysis

UpdatedDec 1, 2025
Python

teradepth /iva

Star64

IVA: Independent Vector Analysis implementation

unsupervised-learning blind-source-separation independent-component-analysis independent-vector-analysis

UpdatedFeb 11, 2018
MATLAB

jbramburger /Data-Science-Methods

Star53

This repository contains lecture notes and codes for the course "Computational Methods for Data Science"

education matlab data-analysis spectrogram fourier-series lecture-notes principal-component-analysis image-denoising linear-discriminant-analysis singular-value-decomposition independent-component-analysis dynamic-mode-decomposition time-frequency-analysis delay-coordinates

UpdatedMar 18, 2021
MATLAB

avinashhsinghh /Heart-Rate-Detection

Star51

Heart Rate Detection using Web Camera

javascript css python html machine-learning image-processing face-recognition pulse heart-rate-monitor independent-component-analysis

UpdatedJan 14, 2019
JavaScript

nay0648 /bssaec2020

Star49

A New Perspective of Auxiliary-Function-Based Independent Component Analysis in Acoustic Echo Cancellation

blind-source-separation independent-component-analysis acoustic-echo-cancellation double-talk

UpdatedJan 13, 2021
MATLAB

pierreablin /faster-ica

Star23

Several maximum likelihood ICA algorithms, including Picard

optimization independent-component-analysis

UpdatedSep 13, 2017
Python

rpatrik96 /ima-vae

Star23

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).

pytorch vae variational-inference variational-autoencoder ica disentanglement dsprites independent-component-analysis pytorch-lightning wandb

UpdatedApr 22, 2024
Jupyter Notebook

AGhaderi /MNE-Preprocessing

Star22

MNE-preprocessing is a python repository to reduce artifacts based on basic and unanimous approaches step by step from electroencephalographic (EEG) raw data.

python erp eeg mne signal preprocessing event-related-potentials mne-python ica independent-component-analysis eeg-preprocessing mne-preprocessing

UpdatedNov 26, 2024
Jupyter Notebook

rpatrik96 /nl-causal-representations

Star21

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

UpdatedSep 5, 2024
Python

olafdimigen /OPTICAT

Star20

Create optimized ICA training (OPTICAT) data for EEG data recorded during free viewing (Dimigen, 2020, NeuroImage)

reading eeg eye-tracking artifacts filtering eye-movements ica independent-component-analysis free-viewing ocular-artifact

UpdatedJun 27, 2024
MATLAB

SSTGroup /independent_vector_analysis

Star20

Independent Vector Analysis (IVA-G and IVA-L-SOS) implemented in Python

blind-source-separation independent-component-analysis independent-vector-analysis

UpdatedNov 24, 2025
Python

shimo-lab /Universal-Geometry-with-ICA

Star20

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

UpdatedJun 17, 2025
Python

marcromani /cocktail

Star17

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

UpdatedMay 31, 2021
Python

juangamella /causal-chamber-paper

Sponsor

Star17

Code to reproduce the case studies of the 2024 paper "The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology" by Juan L. Gamella, Jonas Peters and Peter Bühlmann.

benchmarking machine-learning statistics ai symbolic-regression causality research-paper independent-component-analysis causal-discovery changepoint-detection out-of-distribution-generalization