canonical-correlation-analysis

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jameschapman19 /cca_zoo

Star217

Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework

kernel deep pytorch cca pls multiview canonical-correlation-analysis multiset-cca dcca cca-zoo tensor-cca

UpdatedApr 19, 2024
Python

choyingw /CFCNet

Star37

NeurIPS 2019: Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion

deep-neural-networks computer-vision 3d depth-estimation canonical-correlation-analysis multimodal-deep-learning depth-completion neurips-2019 nips-2019

UpdatedApr 19, 2021
Python

Marco-Congedo /Diagonalizations.jl

Star37

A Julia package for advanced Matrix Diagonalization algorithms (PCA, Whitening, MCA, gMCA, CCA, gCCA, CSP, CSTP, AJD, mAJD)

principal-component-analysis whitening blind-source-separation common-spatial-pattern canonical-correlation-analysis approximate-joint-diagonalization

UpdatedDec 8, 2025
Julia

usc-sail /mica-deep-mcca

Star33

Deep Multiset Canonical Correlation Analysis - An extension of CCA to multiple datasets

canonical-correlation-analysis multimodal-deep-learning multimodal-representation multiset-cca deep-representation-learning

UpdatedJan 14, 2020
Python

chaklam-silpasuwanchai /Python-for-EEG

Star24

A basic demonstration how to use Python, MNE, and PyTorch to analyze EEG signal.

python machine-learning deep-learning neural-network emotion eeg alpha p300 asymmetry ssvep motor-imagery canonical-correlation-analysis

UpdatedDec 6, 2022
Jupyter Notebook

DataSlingers /MoMA

Star23

MoMA: Modern Multivariate Analysis in R

r statistics sparsity statistical-learning rstats regularization r-package svd principal-component-analysis multivariate-analysis multivariate-statistics singular-value-decomposition smoothness canonical-correlation-analysis partial-least-squares

UpdatedAug 26, 2019
R

Viresh-R /ml-CCA

Star22

Implementation of Fast ml-CCA from the ICCV-2015 work "Multi-Label Cross-Modal Retrieval"

cross-modal image-to-text text-to-image iccv canonical-correlation-analysis

UpdatedMar 23, 2018
MATLAB

RezaSaadatyar /SSVEP-based-EEG-signal-processing

Star20

This repository includes useful MATLAB codes for the detection of SSVEP in EEG signals using spatial filters, frequency recognition algorithms, and machine-learning methods.

eeg fast-fourier-transform motor-imagery canonical-correlation-analysis spatial-filtering brain-computer-interfaces small-laplacian large-laplacian common-average-reference power-spectral-density-analysis multivariate-synchronization-index filter-bank-cca fusing-canonical-coefficients-of-ccas steady-state-visually-evoked-potentials steady-state-auditory-evoked-potentials steady-state-somatosensory-evoked-potentials event-related-potential steady-state-evoked-potentials convert-gdf-data-to-mat

UpdatedDec 27, 2024
Jupyter Notebook

JBris /multivariate_analysis_examples

Star18

Several examples of multivariate techniques implemented in R, Python, and SAS. Multivariate concrete dataset retrieved fromhttps://archive.ics.uci.edu/ml/datasets/Concrete+Slump+Test. Credit to Professor I-Cheng Yeh.

multivariate-distributions pca-analysis pca multivariate dimensionality-reduction concrete mds factor-analysis dimension-reduction multivariate-data multivariate-regression multivariate-analysis partial-least-squares-regression multivariate-statistics multivariate-linear-regression pls canonical-correlation-analysis nmds partial-least-squares redundancy-analysis

UpdatedNov 20, 2024
Python

aalto-ics-kepaco /gradKCCA

Star16

Implementations of gradKCCA

kernel-methods projected-gradients canonical-correlation-analysis alternating-optimization

UpdatedFeb 16, 2024
MATLAB

niitsuma /delayedsparse

Star12

Efficient sparse matrix implementation for various "Principal Component Analysis"

python pca cca svd sparse-matrix principal-component-analysis ca correspondence-analysis canonical-correlation-analysis scikit-learn-python

UpdatedNov 12, 2018
Python

TatevKaren /multivariate-statistics

Star8

Case Study in ranking U.S. cities based on a single linear combination of rating variables. Dimensionality techniques used in the analysis are Principal Component Analysis (PCA), Factor Analysis (FA), Canonical Correlation Analysis (CCA)

dimensionality-reduction factor-analysis principal-component-analysis multivariate-analysis multivariate-statistics canonical-correlation-analysis