Published January 24, 2023
| Version 0.18.0
Software
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pytorch_gum_uncertainty_propagation
Description
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.
Notes
If you use this software, please cite it using the provided metadata.
Files
BjoernLudwigPTB/pytorch_gum_uncertainty_propagation-v0.18.0.zip
Files
(104.7 kB)
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Additional details
Related works
- Is supplement to
- https://github.com/BjoernLudwigPTB/pytorch_gum_uncertainty_propagation/tree/v0.18.0 (URL)