Shypd.aiThe largest open index of AI toolsrobustness is an Open Source & Models tool that provides a library for experimenting with, training, and evaluating neural networks. It focuses specifically on adversarial robustness, offering flexible and easy-to-use functionalities.
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robustness is an open-source Python library developed by the MadryLab for experimenting with, training, and evaluating neural networks, with a particular emphasis on adversarial robustness. It is designed to be flexible and easy to use, serving as a dependency for many research projects, including those focused on perceptually-aligned representations, image synthesis, and subpopulation shift. The library offers a command-line interface for training and evaluating standard and robust models across various datasets and architectures, with support for custom additions. It also facilitates input manipulation, such as generating adversarial examples and feature visualization, with extensive optimization options. Users can import robustness as a package for streamlined neural network training, custom loss functions, and data loading, making it a comprehensive tool for AI researchers and machine learning engineers.
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