UQpy Version 4.2: Uncertainty quantification with Python

doi:10.1016/j.softx.2025.102364

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UQpy Version 4.2: Uncertainty quantification with Python

2025-09-01

Connor Krill

Ponkrshnan Thiagarajan

DOI：10.1016/j.softx.2025.102364

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Abstract

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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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