Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.
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Updated
Jun 4, 2024 - Python
Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.
GUNDAM, for Generalized and Unified Neutrino Data Analysis Methods, is a suite of applications which aims at performing various statistical analysis with different purposes and setups.
Numerical derivatives for Python
Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.
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.
Error propagation calculator and library for physical measurements. It supports real and complex numbers with uncertainty, arbitrary precision calculations, operations with arrays, and numerical integration.
My contributions to the #30DayChartChllenge, #rstats edition
Measurements.jl compatibility layer for UnitSystems.jl
Lightweight automatic differentiation and error propagation library
Model for learning document embeddings along with their uncertainties
Python librarY for UNcertainty analysis in liGhtwEight desiGn with IntervalS and fuzzy numberS
Uncertainty propagation in C++
A web-based calculator for calculating error propagation https://thomaslin2020.github.io/uncertainty
Python package for uncertainty calculations and error propagation.
C++ header library for first- and second-order uncertainty propagation
Adaptive Model Predicitive Control - Matlab
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.
Package for uncertainty analysis in Python.
ADELE is a dataset of vibration in a beam that exhibits nonlinear behavior even in the healthy condition, and it is exposed to a type of damage that causes the structure to display a nonlinear behavior with a different nature than the initial one. This experiment was conducted by the SHM lab at the University of California San Diego with collabo…
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