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.

Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.

KFNet: Learning Temporal Camera Relocalization using Kalman Filtering (CVPR 2020 Oral)

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

Model for learning document embeddings along with their uncertainties

This repository provides a framework to perform two-stage stochastic programming on a district energy system considering uncertainties in energy demands, solar irradiance, wind speed, and electricity emission factors.

Python package for uncertainty calculations and error propagation.

Python module with utilities for undergraduate physics lab

Python librarY for UNcertainty analysis in liGhtwEight desiGn with IntervalS and fuzzy numberS

Allows to deal with power series which coefficients contain uncertainties

A web-based calculator for calculating error propagation https://thomaslin2020.github.io/uncertainty

Package for uncertainty analysis in Python.

Automated data analysis and rigorous error propagation for Experimental Physics modules at the University of Göttingen. Features weighted linear regressions, effective variance modeling, and file handling using Scientific Python.

Package with useful scripts for Physics Laboratory Courses

A wrapper to combine the uncertainties package with astropy units