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.

python modules for model-independent uncertainty analyses, data-worth analyses, and interfacing with PEST(++)

Quantify uncertainty and sensitivities in your computer models with an industry-grade Monte Carlo library.

Tools for uncertainty propagation and measurement unit conversion — Outils pour la propagation des incertitudes et la conversion d'unités de mesure

PyTorch implementation of Probabilistic MIMO U-Net

An in-depth performance profiling library for machine learning models

Evaluating model calibration methods for sensitivity analysis, uncertainty analysis, optimisation, and Bayesian inference

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.

🔎Official code for our paper: "VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation".

Functional highest density region boxplot