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.
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.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
UncertainSCI-0.2.0b0.tar.gz
(2.5 MB
view hashes)
Built Distribution
Close
Hashes for UncertainSCI-0.2.0b0-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | b0ddb0235ffa9d4e785e2f7012b0d65caee7806b02c6ce2df5613831652a5d9b |
|
| MD5 | 95655d17d1ac168b362d977ccff2972b |
|
| BLAKE2b-256 | d5fe4f197cf8bce59c63c8707665f17b04e5ecb91aef9a4e1d25286ef4019e48 |
