Framework for Information Theoretical analysis of Electrophysiological data and Statistics

Missing value imputation using Gaussian copula

Provides functions to impute missing values using Gaussian copulas for mixed data types.

synthetic data generation

Code for the paper "Testing Copula Hypothesis with Copula Entropy"

Compute the Pearson correlation to be used in Gaussian copulas

A Streamlit app that preprocesses your dataset and generates high-quality synthetic data using Gaussian Copula and CTGAN models, with built-in evaluation and easy CSV export.

This repo is about the SFR predicting project augmented with synthetic data

🌌 Explore Informational Causal Geometry Theory (GCI) to unify and extend foundational physics concepts through recent experimental insights.