A Python library for fitting and sampling vine copulas using PyTorch.
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Updated
Jul 20, 2026 - Python
A Python library for fitting and sampling vine copulas using PyTorch.
Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in Python
Python library for multivariate dependence modeling with Copulas
📈 🐍 Multidimensional synthetic data generation with Copula and fPCA models in Python
Supplementary material for ICDM 20 paper "COPOD: Copula-Based Outlier Detection"
Python package for canonical vine copula trees with mixed continuous and discrete marginals
A professional, research-grade comparison of Gaussian Copula and Variational Autoencoder (VAE) methods for synthetic tabular data generation. Includes full evaluation pipeline with distribution overlap, correlation analysis, PCA projections, pairplots, metrics, and automated visual reports.
Autocurator is a comprehensive benchmarking toolkit for evaluating synthetic tabular data. It measures fidelity, coverage, privacy, and utility through quantitative metrics, visual reports, and PCA/correlation diagnostics. Ideal for validating VAE, GAN, Copula, or Diffusion-generated datasets.
Tools to construct canonical and regular vines. StarVine can also be used as a bivariate copula fitting tool.
[Quantitative Finance 2019] Sovereign Risk Zones in Europe During and After the Debt Crisis
Synthetic Data Generation Algorithms (VAE-GAN-Diffusion Model-LSTM-Copula)
This repository contains the code for "Diffusion and Flow-based Copulas: Forgetting and Remembering Dependencies" accepted at ICLR 26.
Synthea-inspired hybrid synthetic patient record generator — Gaussian copula + clinical modules, trained on Turkish pristine-healthy EHR cohorts. Outputs CSV + FHIR R4 (LOINC/SNOMED/ICD-10/RxNorm). Includes a Tauri desktop app for non-coders.
Examples of scheduled jobs estimating copulas at www.microprediction.org
[IEEE TNNLS] Official PyTorch and Keras implementations of "Copula Density Neural Estimation"
Python library for modelling complex multivariate dependencies using stochastic copulas
Multi-asset option pricing toolkit using SABR volatility model and t-Copula dependency. Includes SABR calibration with robust loss, copula fitting & model selection, and pricing of basket, range accrual, and snowball structures with Greeks analysis.
mlq4st : Machine Learning Quantile regression for Space-Time processes
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