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pytorch_gum_uncertainty_propagation

This code base is intended to serve as a starting point for interested researchers or practitioners to extend or apply the uncertainty propagation portion of the author's Master's thesis " GUM-compliant neural-network robustness verification".

https://github.com/bjoernludwigptb/pytorch_gum_uncertainty_propagation

Science Score: 67.0%

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    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 3 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ○
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    Institutional organization owner
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    JOSS paper metadata
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    Scientific vocabulary similarity
    Low similarity (11.7%) to scientific vocabulary

Keywords

gum measurement-uncertainties neural-networks pytorch uncertainty-propagation
Last synced: 6 months ago · JSON representation ·

Repository

This code base is intended to serve as a starting point for interested researchers or practitioners to extend or apply the uncertainty propagation portion of the author's Master's thesis " GUM-compliant neural-network robustness verification".

Basic Info
  • Host: GitHub
  • Owner: BjoernLudwigPTB
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage:
  • Size: 1.5 MB
Statistics
  • Stars: 2
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 4
Topics
gum measurement-uncertainties neural-networks pytorch uncertainty-propagation
Created about 3 years ago · Last pushed about 3 years ago
Metadata Files
Readme Changelog License Citation

README.md

GUM-compliantneural-networkuncertainty-propagation

pipeline status Documentation Status codecov Latest Release DOI

This is the code written in conjunction with the first part of the author's Master's thesis on GUM-compliant neural network robustness verification. The code was written for Python 3.10.

The final submission date was 23. January 2023.

Getting started

The INSTALL guide assists in installing the required packages. After that take a look at our example script.

Documentation

The documentation can be found on ReadTheDocs.

Disclaimer

This software is developed under the sole responsibility of Björn Ludwig (the author in the following). The software is made available "as is" free of cost. The author assumes no responsibility whatsoever for its use by other parties, and makes no guarantees, expressed or implied, about its quality, reliability, safety, suitability or any other characteristic. In no event will the author be liable for any direct, indirect or consequential damage arising in connection with the use of this software.

License

pytorchgumuncertainty_propagation is distributed under the MIT license.

Owner

  • Name: Björn Ludwig
  • Login: BjoernLudwigPTB
  • Kind: user
  • Location: Berlin, Germany
  • Company: Physikalisch-Technische Bundesanstalt

Citation (CITATION.cff) 

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: pytorch_gum_uncertainty_propagation
abstract: >-
  This code base is intended to serve as a starting point
  for interested researchers or practitioners to extend or
  apply the uncertainty propagation portion of the author's
  Master's thesis " GUM-compliant neural-network robustness
  verification". It provides an implementation using
  pytorch for Python 3.10.
message: If you use this software, please cite it using the provided metadata.
type: software
authors:
  - given-names: Björn
    family-names: Ludwig
    email: bjoern.ludwig@ptb.de
    affiliation: Physikalisch-Technische Bundesanstalt
    orcid: 'https://orcid.org/0000-0002-5910-9137'
repository-code: https://github.com/BjoernLudwigPTB/pytorch_gum_uncertainty_propagation
repository: >-
  https://gitlab1.ptb.de/ludwig10_masters_thesis/gum-compliant_neural-network_uncertainty-propagation
keywords:
  - measurement uncertainties
  - uncertainty propagation
  - GUM
  - neural networks
  - pytorch
license: MIT
version: 0.18.0
identifiers:
  - description: >-
      This is the general DOI to cite all versions of the software. To cite a specific
      version, please check the README or the Zenodo webpage.
    type: doi
    value: "10.5281/zenodo.7552895"

GitHub Events

Total
Last Year

Dependencies

all-requirements.txt pypi
  • 175 dependencies
dev-requirements.txt pypi
  • appdirs ==1.4.4 development
  • astroid ==2.13.3 development
  • asttokens ==2.2.1 development
  • attrs ==22.2.0 development
  • backcall ==0.2.0 development
  • black ==22.12.0 development
  • certifi ==2022.12.7 development
  • cffconvert ==2.0.0 development
  • charset-normalizer ==3.0.1 development
  • click ==8.1.3 development
  • coverage ==7.0.5 development
  • decorator ==5.1.1 development
  • dill ==0.3.6 development
  • docopt ==0.6.2 development
  • exceptiongroup ==1.1.0 development
  • executing ==1.2.0 development
  • flake8 ==6.0.0 development
  • flake8-pyproject ==1.2.2 development
  • h5py ==3.7.0 development
  • hypothesis ==6.63.0 development
  • idna ==3.4 development
  • iniconfig ==2.0.0 development
  • ipython ==8.8.0 development
  • isort ==5.11.4 development
  • jedi ==0.18.2 development
  • jsonschema ==3.2.0 development
  • lazy-object-proxy ==1.9.0 development
  • matplotlib-inline ==0.1.6 development
  • mccabe ==0.7.0 development
  • mypy ==0.991 development
  • mypy-extensions ==0.4.3 development
  • numpy ==1.24.1 development
  • packaging ==23.0 development
  • parso ==0.8.3 development
  • pathspec ==0.10.3 development
  • pexpect ==4.8.0 development
  • pickleshare ==0.7.5 development
  • platformdirs ==2.6.2 development
  • pluggy ==1.0.0 development
  • pooch ==1.6.0 development
  • prompt-toolkit ==3.0.36 development
  • ptyprocess ==0.7.0 development
  • pure-eval ==0.2.2 development
  • pycodestyle ==2.10.0 development
  • pyflakes ==3.0.1 development
  • pygments ==2.14.0 development
  • pykwalify ==1.8.0 development
  • pylint ==2.15.10 development
  • pyrsistent ==0.19.3 development
  • pytest ==7.2.1 development
  • pytest-cov ==4.0.0 development
  • pytest-custom-exit-code ==0.3.0 development
  • python-dateutil ==2.8.2 development
  • requests ==2.28.2 development
  • ruamel-yaml ==0.17.21 development
  • ruamel-yaml-clib ==0.2.7 development
  • six ==1.16.0 development
  • sortedcontainers ==2.4.0 development
  • stack-data ==0.6.2 development
  • tokenize-rt ==5.0.0 development
  • tomli ==2.0.1 development
  • tomlkit ==0.11.6 development
  • torch ==1.13.1 development
  • tqdm ==4.64.1 development
  • traitlets ==5.8.1 development
  • typing-extensions ==4.4.0 development
  • urllib3 ==1.26.14 development
  • wcwidth ==0.2.6 development
  • wrapt ==1.14.1 development
  • zema-emc-annotated ==0.7.0 development
docs-requirements.txt pypi
  • alabaster ==0.7.13
  • appdirs ==1.4.4
  • asttokens ==2.2.1
  • attrs ==22.2.0
  • babel ==2.11.0
  • backcall ==0.2.0
  • beautifulsoup4 ==4.11.1
  • bleach ==5.0.1
  • certifi ==2022.12.7
  • charset-normalizer ==3.0.1
  • decorator ==5.1.1
  • defusedxml ==0.7.1
  • docutils ==0.17.1
  • entrypoints ==0.4
  • executing ==1.2.0
  • fastjsonschema ==2.16.2
  • h5py ==3.7.0
  • idna ==3.4
  • imagesize ==1.4.1
  • ipython ==8.8.0
  • jedi ==0.18.2
  • jinja2 ==3.1.2
  • jsonschema ==4.17.3
  • jupyter-client ==7.4.9
  • jupyter-core ==5.1.3
  • jupyterlab-pygments ==0.2.2
  • markdown-it-py ==2.1.0
  • markupsafe ==2.1.2
  • matplotlib-inline ==0.1.6
  • mdit-py-plugins ==0.3.3
  • mdurl ==0.1.2
  • mistune ==2.0.4
  • myst-parser ==0.18.1
  • nbclient ==0.7.2
  • nbconvert ==7.2.8
  • nbformat ==5.7.3
  • nbsphinx ==0.8.12
  • nest-asyncio ==1.5.6
  • numpy ==1.24.1
  • packaging ==23.0
  • pandocfilters ==1.5.0
  • parso ==0.8.3
  • pexpect ==4.8.0
  • pickleshare ==0.7.5
  • platformdirs ==2.6.2
  • pooch ==1.6.0
  • prompt-toolkit ==3.0.36
  • ptyprocess ==0.7.0
  • pure-eval ==0.2.2
  • pygments ==2.14.0
  • pyrsistent ==0.19.3
  • python-dateutil ==2.8.2
  • pytz ==2022.7.1
  • pyyaml ==6.0
  • pyzmq ==25.0.0
  • requests ==2.28.2
  • six ==1.16.0
  • snowballstemmer ==2.2.0
  • soupsieve ==2.3.2.post1
  • sphinx ==5.3.0
  • sphinx-rtd-theme ==1.1.1
  • sphinxcontrib-applehelp ==1.0.3
  • sphinxcontrib-devhelp ==1.0.2
  • sphinxcontrib-htmlhelp ==2.0.0
  • sphinxcontrib-jsmath ==1.0.1
  • sphinxcontrib-qthelp ==1.0.3
  • sphinxcontrib-serializinghtml ==1.1.5
  • stack-data ==0.6.2
  • tinycss2 ==1.2.1
  • torch ==1.13.1
  • tornado ==6.2
  • tqdm ==4.64.1
  • traitlets ==5.8.1
  • typing-extensions ==4.4.0
  • urllib3 ==1.26.14
  • wcwidth ==0.2.6
  • webencodings ==0.5.1
  • zema-emc-annotated ==0.7.0
examples-requirements.txt pypi
  • 105 dependencies
release-requirements.txt pypi
  • bleach ==5.0.1
  • certifi ==2022.12.7
  • cffi ==1.15.1
  • charset-normalizer ==3.0.1
  • click ==8.1.3
  • click-log ==0.4.0
  • colorama ==0.4.6
  • cryptography ==39.0.0
  • docutils ==0.19
  • dotty-dict ==1.3.1
  • gitdb ==4.0.10
  • gitpython ==3.1.30
  • idna ==3.4
  • importlib-metadata ==6.0.0
  • invoke ==1.7.3
  • jaraco-classes ==3.2.3
  • jeepney ==0.8.0
  • keyring ==23.13.1
  • more-itertools ==9.0.0
  • numpy ==1.24.1
  • packaging ==23.0
  • pkginfo ==1.9.6
  • pycparser ==2.21
  • pygments ==2.14.0
  • python-gitlab ==3.12.0
  • python-semantic-release ==7.33.0
  • readme-renderer ==37.3
  • requests ==2.28.2
  • requests-toolbelt ==0.10.1
  • rfc3986 ==2.0.0
  • secretstorage ==3.3.3
  • semver ==2.13.0
  • six ==1.16.0
  • smmap ==5.0.0
  • tomlkit ==0.11.6
  • torch ==1.13.1
  • tqdm ==4.64.1
  • twine ==3.8.0
  • typing-extensions ==4.4.0
  • urllib3 ==1.26.14
  • webencodings ==0.5.1
  • wheel ==0.38.4
  • zipp ==3.11.0
requirements.txt pypi
  • numpy ==1.24.1
  • torch ==1.13.1
  • typing-extensions ==4.4.0