Sasuke565/rmodel

rModel is a framework for building LLM applications with agentic workflow agent, agentic, ai, flow, framework, graph, llm, multi-agent, workflow

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jameschapman19/cca_zoo

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

Language: Python - Size: 7.74 MB - Last synced at: 10 days ago - Pushed at: about 1 year ago - Stars: 206 - Forks: 42

Rows21/NSGCCA

Official Implementation of Nonlinear Sparse Generalized Canonical Correlation Analysis (NSGCCA)

Language: Python - Size: 1.28 GB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

sggao/multimodal-pnc

Official Implementation of "Multimodal Analysis of PNC Data via Sparse GCA"

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sggao/sparse-gca

MATLAB and R Code for sparse GCA

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nuria-sv/toscca-mm

Thresholded Sparse CCA for Multiple Measurements

Language: R - Size: 163 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

RezaSaadatyar/SSVEP-based-EEG-signal-processing

This repository includes useful MATLAB codes for the detection of SSVEP in EEG signals using spatial filters, frequency recognition algorithms, and machine-learning methods.

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robinthibaut/deep-cca

Deep Canonical Correlation Analysis with Python

Language: Python - Size: 26.4 KB - Last synced at: 4 days ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 4

levchenkoegor/Inter-Subject_Correlation

ISC method for M/EEG data

Language: Python - Size: 45.4 MB - Last synced at: 5 months ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 1

ranieri-unimi/spawn-em-all

Modelling spawnings on Pokémon Go 🪄 using multivariate statistical algorithms 🎰

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elvano22/Demographic-Service-Correlation

Size: 202 KB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

JBris/multivariate_analysis_examples

Several examples of multivariate techniques implemented in R, Python, and SAS. Multivariate concrete dataset retrieved from https://archive.ics.uci.edu/ml/datasets/Concrete+Slump+Test. Credit to Professor I-Cheng Yeh.

Language: Python - Size: 40 KB - Last synced at: 9 days ago - Pushed at: 6 months ago - Stars: 18 - Forks: 3

htpusa/scanoncorr

Sparse canonical correlation analysis

Language: MATLAB - Size: 158 KB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 7 - Forks: 1

choyingw/CFCNet

NeurIPS 2019: Deep RGB-D Canonical Correlation Analysis For Sparse Depth Completion

Language: Python - Size: 31.8 MB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 37 - Forks: 4

llrs/RGCCA Fork of cran/RGCCA

:exclamation: RGCCA — Regularized and Sparse Generalized Canonical Correlation Analysis for Multiblock Data

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htpusa/PTD-CCA

Tensor Canonical Correlation Analysis (TCCA) via penalised tensor decomposition

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TatevKaren/multivariate-statistics

Case Study in ranking U.S. cities based on a single linear combination of rating variables. Dimensionality techniques used in the analysis are Principal Component Analysis (PCA), Factor Analysis (FA), Canonical Correlation Analysis (CCA)

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ddegras/tensorMCCA

Tensor-based Multiple Canonical Correlation Analysis

Language: R - Size: 534 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 4 - Forks: 2

byzhang23/TreeCorTreat

TreeCorTreat

Language: R - Size: 43.3 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 0

usc-sail/mica-deep-mcca

Deep Multiset Canonical Correlation Analysis - An extension of CCA to multiple datasets

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aalto-ics-kepaco/gradKCCA

Implementations of gradKCCA

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xuefeicao/tdcca

Time-dependent Canonical Correlation Analysis

Language: Python - Size: 21.3 MB - Last synced at: 28 days ago - Pushed at: almost 6 years ago - Stars: 6 - Forks: 3

llrs/inteRmodel

Find models of interaction

Language: R - Size: 10.6 MB - Last synced at: 2 months ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 2

LPNC-LANG/SENECA

Repo for the article on "Modeling the Neurocognitive Dynamics of Language across the Lifespan"

Language: R - Size: 6.74 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

benkeser/cvma

Cross-validation-based maximal associations

Language: R - Size: 170 KB - Last synced at: about 1 month ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 3

Viresh-R/ml-CCA

Implementation of Fast ml-CCA from the ICCV-2015 work "Multi-Label Cross-Modal Retrieval"

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DataSlingers/MoMA

MoMA: Modern Multivariate Analysis in R

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kkt-ee/DATAMINING-SSVEP-CCA-RQA-MLP-CAFFEINE

Data mining based approach to study the effect of caffeinated coffee on SSVEP brain signals. https://doi.org/10.1016/j.compbiomed.2019.103526

Language: MATLAB - Size: 48.3 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 1

niitsuma/delayedsparse

Efficient sparse matrix implementation for various "Principal Component Analysis"

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nuria-sv/toscca

Thresholded Ordered Sparse CCA

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chaklam-silpasuwanchai/Python-for-EEG

A basic demonstration how to use Python, MNE, and PyTorch to analyze EEG signal.

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1Konny/Projection_Weighted_CCA

Language: Python - Size: 2.93 KB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 2 - Forks: 0

llrs/thesis

PhD thesis on data integration on inflammatory bowel disease

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Karami-m/Deep-Probabilistic-Multi-View

The code of the paper: M. Karami, D. Schuurmans, "Deep Probabilistic Canonical Correlation Analysis" AAAI 2021

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livioivil/acca

Language: R - Size: 272 KB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

ankitbit/Multivariate_Analysis

This repository contains materials associated to the course "Multivariate Analysis" taught at the Faculty of Mathematics and Statistics (FME), UPC under the MESIO-UPC-UB Interuniversity Program under the instructors "Ferran Revertar", "Miguel Salicru" and "Jan Graffelman"

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bayuprasetyaa/CanonicalAnalysis

Canonical Analysis using R Notebook

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HamidiMassinissa/DeepCCA Fork of DTaoo/DCCA

An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) in Keras with tfv2 backend.

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rjadr/GCCA Fork of rupy/GCCA

Generalized Canonical Correlation Analysis - python 3 version

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mkomod/rcca

Sparse Canonical Correlation Analysis

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jmsquare/canonical-correlation-analysis

This project implements canonical correlation analysis between two data matrices. I first create the latent dimensions between the two data matrices. Then I use Kmeans and hierarchical clustering on principal component to group individuals using the latent dimensions and the distance created by the canonical analysis. Last step, I give a profiling of the different groups using descriptive statistics and provide an automated method to export the results.

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mdmahendri/multivariate-analysis

Language: R - Size: 1.66 MB - Last synced at: 7 months ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

alexvlis/mooney-reconstruction

Assignment for Fall 2017 CS289: Machine Learning

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imalenica/cvma Fork of benkeser/cvma

R/cvma: Cross-validation-based maximal associations

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