An open source, Python-based software platform for energy storage simulation and analysis developed by Sandia National Laboratories.

Python package for performance monitoring of time series data

Flexible and efficient tools for high-dimensional approximation, scientific machine learning and uncertainty quantification.

This code implements the Tensor Basis Neural Network (TBNN) as described in Ling et al. (Journal of Fluid Mechanics, 2016).

Python Tensor Toolbox

A graphical user interface for measuring and performing inter-active analysis of physical unclonable functions (PUFs)

A Python Package for Adversarial Optimization

ML-based radioisotope identification and estimation from gamma spectra in Python.

Shadow semi-supervised consistency regularization PyTorch library

Platform for rapid computation of molecular similarity and integration of custom machine learning models

PRIME is a modeling framework designed for the "real-time" characterization and forecasting of partially observed epidemics

QuESt Planning is a long-term power system capacity expansion planning model that identifies cost-optimal energy storage, generation, and transmission investments and evaluates a broad range of energy storage technologies.

An extension of Pyomo that defines a simple modeling class that is similar to PuLP

Quantification of Uncertainty in ENsembles of Data Streams

BiEntropy Randomness Metrics for Python

Educational code repository for exploring the connection between Graph Neural Networks (GNNs) and Applied Linear Algebra

Python Toolkit for Uncertainty Quantification

Code to calibrate an agent-based disease model (CityCOVID from Argonne National Lab).