Scale Synthetic Data to Millions of Rows with ACTGAN

Gretel's ACTGAN is a powerful tool for generating synthetic data at scale with improved accuracy and reduced memory requirements. It excels in handling highly dimensional tabular datasets, making it suitable for industries like ads, cyber security, financial services, and life sciences. ACTGAN builds upon the open-source CTGAN model but enhances its efficiency and accuracy through features such as binary encoding, automatic date-time transformation, and improved conditional vector sampling. Its source-available license makes it a more accessible choice for businesses looking to generate synthetic data in-house.