Flexible and efficient tools for high-dimensional approximation, scientific machine learning and uncertainty quantification.
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Updated
Aug 21, 2024 - Python
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 Python Package for Adversarial Optimization
ML-based radioisotope identification and estimation from gamma spectra in Python.
Shadow semi-supervised consistency regularization PyTorch library
PRIME is a modeling framework designed for the "real-time" characterization and forecasting of partially observed epidemics
An extension of Pyomo that defines a simple modeling class that is similar to PuLP
Educational code repository for exploring the connection between Graph Neural Networks (GNNs) and Applied Linear Algebra
Flexible, modular, distributed framework for performing analysis of executable code. Forked to https://github.com/Program-Understanding/oxide
Online version control platforms offer insights into traffic and engagement with source code repositories, but only in limited ways and over short windows of time. Scientific software teams at Sandia and elsewhere want to collect and store engagement data to help tell their story and the impact their work has on the community. Repometer aims to …
This repository contains the Deep Learning Denoiser software for seismic noise suppression
Code that uses random forest surrogates and MCMC to calibrate an agent-based disease model (CityCOVID from Argonne National Lab). Details: https://doi.org/10.48550/arXiv.2406.19524
DBSCAN for use in general metric spaces
Implementation of XPCA in Python (https://arxiv.org/abs/1808.07510)
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