Robustifytoolkit

Robustify is a GitHub repository focused on evaluating the effects of adding structurally conserving noise to data. It provides a comprehensive set of tools for researchers and practitioners interested in exploring the impact of noise on the score and robustness of their machine learning models. The repository includes a variety of noise generation and augmentation techniques, as well as methods for evaluating the effects of noise on model performance, robustness metrics and visualizations. Adding noise to data can be used to simulate uncertainty, improve robustness, mitigate the effect of outliers, and improve generalization performance. It can also be used as a form of data augmentation, exposing the model to more variations of the input data.