Scripts and data used in a study to assess the impact of various model enhancements on the performance of a hydro-sedimentological model.
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Updated
Jul 8, 2024 - R
Scripts and data used in a study to assess the impact of various model enhancements on the performance of a hydro-sedimentological model.
python modules for model-independent uncertainty analyses, data-worth analyses, and interfacing with PEST(++)
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
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.
Recovery of rare Earth Elements from Phosphogypsum System
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
An in-depth performance profiling library for machine learning models
Estimate Crop Models' parameters
This repo contains implementation of uncertainty estimation, rectification, and minimization for guiding the pseudo-label learning in semi-supervised defect segmentation setting.
Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference
R package: spup - Spatial Uncertainty Propagation Analysis
PyTorch implementation of Probabilistic MIMO U-Net
Some remarks on prior modelling for the basic reproductive number in the Susceptible-Infected-Recovered (SIR) epidemic model
Uncertainty propagation in C++
VARS-TOOL sensitivity analysis package in Python
Uncertain Shapelet Transform Classification, a shapelet method for uncertain time series classification
Tools for uncertainty propagation and measurement unit conversion — Outils pour la propagation des incertitudes et la conversion d'unités de mesure
An overview about PROFOUND code, data, protocols and algorithms for interfacing, calibrating and comparing forest models
Python library and command line tool performing the Transient Scanning Technique by Brouwer et al.
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