Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.
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Updated
Jul 11, 2024 - Python
Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.
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
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.
Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference
PyTorch implementation of Probabilistic MIMO U-Net
Tools for uncertainty propagation and measurement unit conversion — Outils pour la propagation des incertitudes et la conversion d'unités de mesure
Python library and command line tool performing the Transient Scanning Technique by Brouwer et al.
Functional highest density region boxplot
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