SURGroup/UQpy

Probabilistic modelling and uncertainty quantification library

A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

Uncertainty quantification with PyTorch

python modules for model-independent uncertainty analyses, data-worth analyses, and interfacing with PEST(++)

Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.

constrained nonlinear optimization for scientific machine learning, UQ, and AI

Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.

Python Structural Reliability Analysis

Bayesian Modeling and Probabilistic Programming in Python