Uncertainty treatment library
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Updated
Jul 23, 2024 - C++
Uncertainty treatment library
RAVEN is a flexible and multi-purpose probabilistic risk analysis, validation and uncertainty quantification, parameter optimization, model reduction and data knowledge-discovering framework.
tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis
The Toolkit for Adaptive Stochastic Modeling and Non-Intrusive ApproximatioN
This repository contains the implementation for our work "Topology-Aware Uncertainty for Image Segmentation", accepted to NeurIPS 2023.
Bayesian Active Learning for Optimization and Uncertainty Quantification with Applications to Protein Docking
Physics-informed information field theory - Solve inverse problems with built-in model form uncertainty estimation
The implementation of the Small Bodies Geophysical Analysis Tool (SBGAT)
2D encoder-based dead-reckoning state estimation for a two-wheeled robot.
Probabilistic space module for stochastic galerkin and stochastic collocation computations
FabNEPTUNE is a FabSim3 plugin for automated NEPTUNE (UKAEA’s fusion project)-based simulations
Simple implementation of one-dimensional simultaneous localisation and mapping.
Welcome to UMUQ, University of Michigan's Uncertainty Quantification Framework!
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