independent-component-analysis

There are 82 repositories under independent-component-analysis topic.

  • machine-learning

    je-suis-tm/machine-learning

    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, FISTA, ADMM, Gaussian Mixture Model, OPTICS, DBSCAN, Random Forest, Decision Tree, Support Vector Machine, Independent Component Analysis, Latent Semantic Indexing, Principal Component Analysis, Singular Value Decomposition, K Nearest Neighbors, K Means, Naïve Bayes Mixture Model, Gaussian Discriminant Analysis, Newton Method, Coordinate Descent, Gradient Descent, Elastic Net Regression, Ridge Regression, Lasso Regression, Least Squares, Logistic Regression, Linear Regression

    Language:Jupyter Notebook2555157

  • nay0648/unified2021

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

    Language:MATLAB1198356

  • pierreablin/picard

    Preconditioned ICA for Real Data

    Language:Python10892014

  • teradepth/iva

    IVA: Independent Vector Analysis implementation

    Language:MATLAB593134

  • jbramburger/Data-Science-Methods

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

    Language:MATLAB532012

  • nay0648/bssaec2020

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

    Language:MATLAB473234

  • avinashhsinghh/Heart-Rate-Detection

    Heart Rate Detection using Web Camera

    Language:JavaScript431217

  • rpatrik96/ima-vae

    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).

    Language:Jupyter Notebook23200

  • AGhaderi/MNE-Preprocessing

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

    Language:Jupyter Notebook22204

  • pierreablin/faster-ica

    Several maximum likelihood ICA algorithms, including Picard

    Language:Python22517

  • olafdimigen/OPTICAT

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

    Language:MATLAB19101

  • rpatrik96/nl-causal-representations

    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).

    Language:Python18222

  • avsastry/modulome-workflow

    Workflow to download, process, and explore microbial RNA-seq data from NCBI SRA

    Language:HTML1721326

  • shimo-lab/Universal-Geometry-with-ICA

    Discovering Universal Geometry in Embeddings with ICA (Published in EMNLP 2023)

    Language:Python17220

  • juangamella/causal-chamber-paper

    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.

    Language:Jupyter Notebook16202

  • marcromani/cocktail

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

    Language:Python16113

  • SSTGroup/independent_vector_analysis

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

    Language:Python16102

  • EnayatAria/ICA-based-band-selection-HSI

    Independent component analysis for dimensionality reduction of hyperspectral images

    Language:Python14105

  • gbeckers/jadeR

    Blind source separation of real signals

    Language:Python14202
  • tcd-ai-group-project

    tulsyanp/tcd-ai-group-project

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

    Language:Python12103

  • Alan-D-Chen/PCA_ICA_DEMO

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

    Language:Python10102

  • ArvindSubramaniam/Heart_Rate_from_Facial_Video

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

    Language:Python10000

  • stepeter/EEG_perturbations_analysis

    Source localization and connectivity analysis of high-density EEG data

    Language:MATLAB10305

  • liu-yikang/rat_rsfmri_preprocessing

    Preprocessing toolbox for rat rs-fMRI data

    Language:MATLAB9116

  • ME-ICA/aroma

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

    Language:Python753011

  • NicolasSompairac/HACK

    Hierarchical approach to Stabilised Independent Component Analysis

    Language:Jupyter Notebook7103

  • baggepinnen/IndependentComponentAnalysis.jl

    Fast implementations of FastICA and DUET for blind source separation

    Language:Julia632

  • ldv1/ICA_for_demixing_images

    Language:Python6000
  • Face-Recognition

    Sina-Baharlou/Face-Recognition

    Face Recognition using Independent Component Analysis (ICA)

    Language:MATLAB5103
  • eeg_commander

    sjburwell/eeg_commander

    MATLAB pipeline for easy-to-program automated pre-processing of electroencephalogram (EEG) data using independent component analysis and statistically-robust detection of artifacts.

    Language:MATLAB5202

  • lkorczowski/CAJD

    Extract the independant sources with Composite Approximate Joint Diagonalization (CAJD) for linear/bilinear data models

    Language:MATLAB4101

  • nordavinden/Mutual-Information-ICA

    Independent component analysis and related techniques based on mutual information

    Language:C4000

  • shantistewart/Independent-Component-Analysis

    A class research project on independent component analysis (ICA) and FastICA for Matrix Analysis for Signal Processing and Machine Learning (ECE 599) course at Oregon State University.

    Language:TeX4201

  • awcasella/ICA-on-Mixed-Images

    Usage of Independent Component Analysis (ICA) to separate two mixed images, based on Nathan Kutz lecture.

    Language:Jupyter Notebook3200

  • Junaidk11/eeglab_DSP

    Using EEGLAB to process EEG signal from a subject in a resting-wakeful state with their eyes opened and closed.

    Language:MATLAB3100

  • ymgw55/Cosine-Similarity-via-ICA

    Revisiting Cosine Similarity via Normalized ICA-transformed Embeddings (Published in COLING 2025)

    Language:Mathematica30