Framework for Information Theoretical analysis of Electrophysiological data and Statistics
- Updated
Apr 30, 2025 - Python
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.
Code for the paper "Testing Copula Hypothesis with Copula Entropy"
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.
Compute the Pearson correlation to be used in Gaussian copulas
This repo is about the SFR predicting project augmented with synthetic data
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