There are 1 repository under uncertainty-analysis topic.
GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to address parameter and model uncertainties.
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.
Robust and optimal design and analysis of linear control systems
Estimate Crop Models' parameters
PyTorch implementation of Probabilistic MIMO U-Net
An in-depth performance profiling library for machine learning models
This repo contains implementation of uncertainty estimation, rectification, and minimization for guiding the pseudo-label learning in semi-supervised defect segmentation setting.
Python library and command line tool performing the Transient Scanning Technique by Brouwer et al.
Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference
Some remarks on prior modelling for the basic reproductive number in the Susceptible-Infected-Recovered (SIR) epidemic model
An overview about PROFOUND code, data, protocols and algorithms for interfacing, calibrating and comparing forest models
Distributed Rough Set Theory for Feature Selection
Probabilistic framework for solving Visual Dialog
A MatLab tool for calibration and uncertainty analysis of the Sunset Model 4 Instrument
Uncertainty Quantification in python using Monte-Carlo simulation
Functional highest density region boxplot
Extended Kalman Filter : To estimate the 2D pose of the robot throughout its traversal using these sensor measurements by applying an Extended Kalman filter.