A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
python
machine-learning
emulation
decision-making
uncertainty-quantification
sensitivity-analysis
bayesian-optimization
experimental-design
bayesian-quadrature
multi-fidelity
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Updated
Jul 16, 2020 - Python