Tabular augmentation libraries

Tabular augmentations are not established as image, text, or audio augmentations. Typically, data scientists develop tabular augmentation techniques specific to a project. There are a few open source projects on the GitHub website. Still, DL and generative AI will continue to advance in forecasting for time series and tabular data predictions, and so will tabular augmentations. The following open source libraries can be found on the GitHub website:

• DeltaPy is a tabular augmentation for generating and synthesizing data focusing on financial applications such as time series stock forecasting. It fundamentally applies to a broad range of datasets. The GitHub website link is https://github.com/firmai/deltapy. The published scholarly paper is called DeltaPy: A Framework for Tabular Data Augmentation in Python, by Derek Snow, The Alan Turing Institute, in 2020.
• The Synthetic Data Vault (SDV) is for augmenting tabular data by generating synthetic...