🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python
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Mar 1, 2026 - Python
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cca
Here are 16 public repositories matching this topic...
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
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Mar 7, 2026 - Python
This repository includes all Basic Algorithms related to image Processing, these are almost without Build-in Functions
histogram tophat cca closing region-growing image-segmentation erosion dilation frequency-domain fourier-transform connected-components opening texture-analysis lowpass-filter highpass-filter bgr2hsv local-adaptive-threshold filteraion global-adaptive-threshold kmeansclustering
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Oct 1, 2020 - Python
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
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Jul 25, 2019 - Python
Canonical Correlation Analysis for joint representations of images and tags
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Oct 27, 2019 - Python
Joint representation of image and text through a Canonical Correlation Analysis
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Jun 5, 2019 - Python
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
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Nov 12, 2018 - Python
License Plate Recognition at character level
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May 18, 2019 - Python
Deep Canonical Correlation Analysis with Python
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Dec 23, 2022 - Python
Implementations of 3 linear and non-linear dimensionality reduction algorithms
pca dimensionality-reduction cca locality-sensitive-hashing principal-component-analysis manifold-learning isomap laplacian-eigenmaps stiefel-manifold manifold-learning-algorithms grassman-manifold
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Jan 12, 2021 - Python
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Jul 19, 2018 - Python
A Python package implementing Rectified Spectral Units (ReSUs), a biologically inspired neural building block for backprop-free training using spectral decomposition and Canonical Correlation Analysis (CCA).
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Jan 31, 2026 - Python
Linear and generalized linear models for regression and classification, neural networks, Support Vector machines & kernel methods, mixture models & clustering. Program in Python. PyTorch & Tensorflow
python svm regression pytorch recurrent-neural-networks model-selection pca classification cca gaussian-processes variational-autoencoders sequence-to-sequence-models tenserflow feed-forward-neural-networks large-language-models
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Mar 4, 2026 - Python
Canonical Correlation Analysis.
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May 22, 2025 - Python
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