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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.
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.
Fusion ICA Toolbox (MATLAB)
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."
Canonical Correlation Analysis for joint representations of images and tags
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
Efficient sparse matrix implementation for various "Principal Component Analysis"
Joint representation of image and text through a Canonical Correlation Analysis
License Plate Recognition at character level
Deep Canonical Correlation Analysis with Python
This repository contains code for analyzing Steady-State Visually Evoked Potential (SSVEP) signals recorded from EEG data. The goal of this analysis is to determine the stimulation frequency from the EEG signals recorded in each test. Two methods are employed: Frequency Content Plotting and Canonical Correlation Analysis (CCA).
Implementations of 3 linear and non-linear dimensionality reduction algorithms
University of Illinois@Urbana-Champaign MCS-DS CS498 Cloud Computing Applications project
A new generation editor for modelling Context-Aware Systems
This repository corresponds to the study: Cornwall et al. (2023). Increasing importance of crustose coralline algae to coral reef carbonate production under ongoing climate change. Communication Earth & Environment
Timbur: Projects, Tips, & Tricks.
Notes and resources for classes taken at California Crosspoint Academy during the 2017-2024 academic years.
This repo contains code and presentations used for ad-hoc analyses regarding liver cell toxicology and development. It also contains analyses on human and mice immune cells.
Python implementation of the regularized Canonical Correlation Analysis (rCCA) algorithm