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QUiNN

RESOURCE

Publicly Accessible Repository
https://github.com/sandialabs/quinn
https://doi.org/10.11578/dc.20230813.1

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Abstract

SAND2023-05484O Quantification of Uncertainties in Neural Networks (QUiNN) is a python library centered around various probabilistic wrappers over PyTorch modules in order to provide uncertainty estimation in neural network (NN) predictions. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.
Developers:
Sargsyan, Khachik [1][2][3]
  1. Sandia National Lab. (SNL-CA), Livermore, CA (United States)
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  3. Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
Release Date:
2023-01-05
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Programming Languages:
Python
Version:
1.0
Licenses:
BSD 3-clause "New" or "Revised" License
Sponsoring Org.:
Code ID:
111714
Site Accession Number:
SCR #2871.0
Research Org.:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Country of Origin:
United States

RESOURCE

Publicly Accessible Repository
https://github.com/sandialabs/quinn
https://doi.org/10.11578/dc.20230813.1

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Citation Formats

Sargsyan, Khachik. QUiNN. Computer Software. https://github.com/sandialabs/quinn. USDOE. 05 Jan. 2023. Web. doi:10.11578/dc.20230813.1.
Sargsyan, Khachik. (2023, January 05). QUiNN. [Computer software]. https://github.com/sandialabs/quinn. https://doi.org/10.11578/dc.20230813.1.
Sargsyan, Khachik. "QUiNN." Computer software. January 05, 2023. https://github.com/sandialabs/quinn. https://doi.org/10.11578/dc.20230813.1.
@misc{ doecode_111714,
title = {QUiNN},
author = {Sargsyan, Khachik},
abstractNote = {SAND2023-05484O Quantification of Uncertainties in Neural Networks (QUiNN) is a python library centered around various probabilistic wrappers over PyTorch modules in order to provide uncertainty estimation in neural network (NN) predictions. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.},
doi = {10.11578/dc.20230813.1},
url = {https://doi.org/10.11578/dc.20230813.1},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20230813.1}},
year = {2023},
month = {jan}
}