Skip to main content

A Non-invasive Uncertainty Quantification tool

Project description

UncertainSCI

A Python-based toolkit that harnesses modern techniques to estimate model and parametric uncertainty, with a particular emphasis on needs for biomedical simulations and applications. This toolkit enables non-intrusive integration of these techniques with well-established biomedical simulation software.

UncertainSCI

Linux build

status

Documentation

https://uncertainsci.readthedocs.io

License

Distributed under the MIT license. See LICENSE for more information.

Acknowledgements

This project was supported by grants from the National Institute of Biomedical Imaging and Bioengineering (U24EB029012) from the National Institutes of Health.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

UncertainSCI-0.2.1b0.tar.gz (55.6 kB view details)

Uploaded Source

Built Distribution

UncertainSCI-0.2.1b0-py3-none-any.whl (61.9 kB view details)

Uploaded Python 3

File details

Details for the file UncertainSCI-0.2.1b0.tar.gz.

File metadata

  • Download URL: UncertainSCI-0.2.1b0.tar.gz
  • Upload date:
  • Size: 55.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for UncertainSCI-0.2.1b0.tar.gz
Algorithm Hash digest
SHA256 2c8345cce0e2fb8665e96a29cafabe66716e11452114a14347d380d2f5b72bc8
MD5 ed50f36c700cf9c224dab43269bb522d
BLAKE2b-256 6b2ea443c7dffaf163e723d4e7ddb7619a7c8036e17f5e987fb0ca182dc1136a

See more details on using hashes here.

Provenance

File details

Details for the file UncertainSCI-0.2.1b0-py3-none-any.whl.

File metadata

  • Download URL: UncertainSCI-0.2.1b0-py3-none-any.whl
  • Upload date:
  • Size: 61.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for UncertainSCI-0.2.1b0-py3-none-any.whl
Algorithm Hash digest
SHA256 ed8d5d13fc6aa999d30cd750fc211af691edb1a30dec3f520f7d325a2638cc13
MD5 2a0cc6b5f0c9f5119fa397f813674e5f
BLAKE2b-256 23005d5d3dce91b5b886fb99b4c22e9b7cb34e2a61684954cf363e065de829f8

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page