MSPC application to seismic data developed as part of the DigiVolCan project.
-
Updated
Dec 9, 2025 - Python
MSPC application to seismic data developed as part of the DigiVolCan project.
Complex / 2d multivariate bivariate colormap / Domain coloring for Matplotlib, Plotly etc. (pure-numpy)
Integrate your chemometric tools with the scikit-learn API 🧪 🤖
KNIME Statistics and Social Science Extension is designed to provide Python-based nodes for advanced statistical and social science analysis. This extension enables researchers and analysts to integrate sophisticated statistical methods into their KNIME workflows, enhancing their ability to conduct robust data analysis.
Multivariate data analysis toolkit for numerical ecology with Python
MultiVariate Gaussian Kernel Density Estimation
Comparative analysis of pairwise interactions in multivariate time series.
The uvvis-app allows to evaluate concentrations of analytes in mixtures using Multivariate Partial Least Squares (PLS) analysis.
Python library for modelling complex multivariate dependencies using stochastic copulas
A Python package housing a collection of deep-learning multi-modal data fusion method pipelines! From data loading, to training, to evaluation - fusilli's got you covered 🌸
Estimate dynamic high-order correlations in multivariate timeseries data
This repository contains the code for paper "Multivariate compound events drive historical floods and associated losses along the U.S. East and Gulf coasts"
Deep and Machine Learning for Microscopy
Detergent for Multivariate Analysis Pipelines of Neuroimaging data in Python
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.
Materials supporting the Multivariate analysis sessions
[Thesis] Official implementation of NESolver: A Chemistry-Informed Tool for Multivariate Ion Analysis with Ion-Selective Electrodes
This repository presents a comprehensive analysis of sales representative profiles within a software product group. The analysis explores various factors at play such as age, gender, experience, personality type, certifications, feedback scores, salary, and Net Promoter Scores (NPS) to derive actionable insights and support decision-making process.
Time series analysis codes used in the company's data science projects.
Parallel Coordinates visualization tool for n-D multivariate classifications
Add a description, image, and links to the multivariate-analysis topic page so that developers can more easily learn about it.
To associate your repository with the multivariate-analysis topic, visit your repo's landing page and select "manage topics."