Data Generation for Bias and Data Seeding
A repository of working notebooks and resources that can be used to generate data in tabular or non-tabular form to augment training/validation sets, with the goal of reducing data-related bias, or to generate "fake" test data at scale to simulate test data across a wide variety of use cases.