Notes and resources for classes taken at California Crosspoint Academy during the 2017-2024 academic years.
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Updated
Jun 4, 2024 - Markdown
Notes and resources for classes taken at California Crosspoint Academy during the 2017-2024 academic years.
A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)
🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python
R Package: Regularized Spatial Maximum Covariance Analysis
solving problems with data analysis, hypotheses and the most used statistical tests in ecology
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.
Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework
Tensor Canonical Correlation Analysis (TCCA) via penalised tensor decomposition
R Package: Regularized Spatial Maximum Covariance Analysis
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).
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."
Python implementation of the regularized Canonical Correlation Analysis (rCCA) algorithm
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
EEG decoding for an ultra low cost, real time BCI device based on the Espressif ESP32 running MicroPython.
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