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)

🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python

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

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

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

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

Canonical Correlation Analysis for joint representations of images and tags

License Plate Recognition at character level

Joint representation of image and text through a Canonical Correlation Analysis

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

Fusion ICA Toolbox (MATLAB)

Python Brain Computer Interface using SSVEP

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."

Deep Canonical Correlation Analysis with Python

Single-cell alignment

Efficient sparse matrix implementation for various "Principal Component Analysis"

Jane Attestation Server