A Python library to determine what exactly the user ran at the command line, along with default values, and any transformations that happened after parsing arguments.
A project and machine deployment model using Spack
The Coek Project - Performant optimization modeling environments
Python Toolkit for Uncertainty Quantification
Quantification of Uncertainty in ENsembles of Data Streams
A Python package that allows you to interact with the shell, while logging various metadata, statistics, and trace information.
A suite of codes for performing discrete time Markov chain random walks with neuromorphic hardware and simulators.
Defect diffusion graph neural network
Repository for Sampling Through COINFLIPS Artificial Neural Networks (scANNs), a method for uncertainty quantification in neural networks.
Host-based Intrusion Detection System for Wind Turbine and Site Controllers
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