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Python Toolkit for Uncertainty Quantification (PyTUQ)

Khachik Sargsyan, Bert Debusschere, Emilie Grace Baillo

Overview

Python Toolkit for Uncertainty Quantification (PyTUQ) is a Python-only set of tools for uncertainty quantification.

Dependencies

PyTUQ requires:

  • numpy
  • scipy
  • matplotlib
  • pytorch
  • QUINN (optional)

Installation

  1. To install PyTUQ from source, start up a Python virtual environment and clone the repository:
    $ source <PYTHON_VENV_DIR>/bin/activate
    $ git clone [email protected]:sandialabs/pytuq.git
    $ cd pytuq
  1. Install PyTUQ dependencies and PyTUQ via pip:
    $ pip install -r requirements.txt # installs QUINN
    $ pip install .

License

Distributed under BSD 3-Clause License. See LICENSE.txt for more information.

Acknowledgements

This work is supported by the Scientific Discovery through Advanced Computing (SciDAC) Program under the Office of Science at the U.S. Department of Energy.

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.