Paxplot is a Python visualization library for parallel axis, or parallel coordinate, plots.
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Updated
Oct 19, 2026 - Python
Paxplot is a Python visualization library for parallel axis, or parallel coordinate, plots.
Graphical User Interface for Parallel Coordinates using Matplotlib.
This study presents an innovative web application designed to apply visual analytics and dimensionality reduction techniques, specifically utilizing D3.js and Druid.js, to the analysis of sports betting odds.
DCGAN (Deep Convolutional Generative Adversarial Network) custom architecture builder and image synthesizer to specify the architecture of the generator and discriminator, visualize the models, train the GAN, synthesize images, and analyze synthetic imagery losslessly visualized.
Parallel Coordinates visualization tool for n-D multivariate classifications
Analysis and Visualization of COVID-19 Impact and Response in Europe.
Machine Learning classifier comparison GUI application. Choose 21 classifiers, evaluation data (optional for evaluation of synthetic data), hyperparameters, cross-validation splits, and rng seed; tabulates, and visualizes in Parallel Coordinates: best, worst, average, and standard deviation of Accuracy/F1/Recall.
Lightweight control plane for running and observing training jobs (local or Hugging Face Jobs).
Interactive Data Visualization Coursework (SS-2020).
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This repository contains visualizations for covid19 data.
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