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An open source python library for automated feature engineering
Synthetic data generation for tabular data
Conditional GAN for generating synthetic tabular data.
A library to model multivariate data using copulas.
A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.
Generative adversarial training for generating synthetic tabular data.
Benchmarking synthetic data generation methods.
Metrics to evaluate quality and efficacy of synthetic datasets.
A library of Reversible Data Transforms
