How AI describes GenTab

GenTab is a Python library that generates synthetic tabular data using a diverse set of statistical, machine learning, and deep learning methods to capture patterns in real datasets for preprocessing, data balancing, and resampling. It provides multiple generators, including linear models, SMOTE/ADASYN, Gaussian copulas, AE/TVAE, GAN-based models (CTGAN and variants), diffusion models, and even LLM-based approaches, all installable via pip. The library is designed to be easy to use and customize for researchers and developers, enabling realistic synthetic data for testing, privacy-preserving data sharing, and model development.