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

Pycheron - A python library for quality control of seismic data based on IRIS Mustang.

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

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.

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

An SQL Database Built on GraphBLAS

Python Toolkit for Uncertainty Quantification

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

BiEntropy Randomness Metrics for Python

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