Modular AI Trustworthy Engineering (MAITE) is a library of common types, protocols (a.k.a. structural subtypes), and utilities that can be used to support AI test and evaluation workflows.

Establishing Quantified Uncertainty in Neural Networks

PyTorch-centric library for evaluating and enhancing the robustness of AI technologies

Create powerful Hydra applications without the yaml files and boilerplate code.