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UQpy Version 4.2: Uncertainty quantification with Python
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DOI：10.1016/j.softx.2025.102364.png)
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Abstract
En 中文
We introduce a new module for the UQpy software package which extends its capabilities into the field of Scientific Machine Learning. This module builds on PyTorch to create a flexible and robust platform for uncertainty quantification in machine learning. The scientific machine learning module of UQpy introduces custom layers, neural networks, and neural network trainers that are compatible with torch version 2.2.2 and allow for plug and play integration into existing torch code.
Keywords:
Uncertainty quantification
Scientific machine learning
Neural networks
Neural operators
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