The Colour Contrast Analyser (CCA) helps you determine the legibility of text and the contrast of visual elements, such as graphical controls and visual indicators.

A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)

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

🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python

An implementation of Deep Generalized Canonical Correlation Analysis (DGCCA or Deep GCCA) with pytorch.

Cloudera_Material: Study Material to help people preparing for Cloudera CCA Spark and Hadoop Developer Exam (CCA175). Feel free to collaborate.

Fusion ICA Toolbox (MATLAB)

This repository includes all Basic Algorithms related to image Processing, these are almost without Build-in Functions

EEG decoding for an ultra low cost, real time BCI device based on the Espressif ESP32 running MicroPython.

The source code of the OACCA introduced in our IEEE TBME paper (10.1109/TBME.2021.3133594)

Matlab code of our IEEE TASE paper "Wong, C. M., Wang, Z., Rosa, A. C., Chen, C. P., Jung, T. P., Hu, Y., & Wan, F. (2021). Transferring subject-specific knowledge across stimulus frequencies in SSVEP-based BCIs. IEEE Transactions on Automation Science and Engineering, 18(2), 552-563."

SSVEP Brain Computer Interface - Example code for real-time detection of SSVEP using the Canonical Correlation Analysis (CCA) code in real-time. Implemented using OpenViBE and Python

Canonical Correlation Analysis for joint representations of images and tags

Joint representation of image and text through a Canonical Correlation Analysis

Efficient sparse matrix implementation for various "Principal Component Analysis"

License Plate Recognition at character level

Single-cell alignment

Deep Canonical Correlation Analysis with Python

R Package: Regularized Spatial Maximum Covariance Analysis

Implementations of 3 linear and non-linear dimensionality reduction algorithms