GitHub - sdv-dev/SDV: Synthetic data generation for tabular data
Overview
The Synthetic Data Vault (SDV) is a Python library designed to be your one-stop shop for
creating tabular synthetic data. The SDV uses a variety of machine learning algorithms to learn
patterns from your real data and emulate them in synthetic data.
Features
🧠Create synthetic data using machine learning. The SDV offers multiple models, ranging
from classical statistical methods (GaussianCopula) to deep learning methods (CTGAN). Generate
data for single tables, multiple connected table...
Read more at github.com