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)

Model for learning document embeddings along with their uncertainties

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

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

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

Allows to deal with power series which coefficients contain uncertainties

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

Package with useful scripts for Physics Laboratory Courses

Package for uncertainty analysis in Python.

A wrapper to combine the uncertainties package with astropy units