JOSS Papers: Uncertainty quantification

All Papers
4112
 Published Papers
3745
 Active Papers
367
published Published about 1 month ago

OpenTURNS: A Python package for uncertainty quantification

C++ NSIS
@mbaudin47
10.21105/joss.10484
published Published about 1 month ago

AutoEmulate: A PyTorch tool for end-to-end emulation workflows

Python Jupyter Notebook
@sgreenbury
10.21105/joss.10087
published Published 2 months ago

estim8 - An FMI-compliant Python toolbox for bioprocess modeling and parameter estimation

Python Jupyter Notebook Modelica
@MicroPhen
10.21105/joss.10147
published Published 2 months ago

bde: A Python Package for Bayesian Deep Ensembles via MILE

Python Jupyter Notebook
@EmanuelSommer
10.21105/joss.10653
published Published 6 months ago

aimz: Scalable probabilistic impact modeling

Python
@markean
10.21105/joss.09738
published Published 10 months ago

k-diagram: Rethinking Forecasting Uncertainty via Polar-based Visualization

Python
@earthai-tech
10.21105/joss.08661
published Published about 1 year ago

SparseGridsKit.jl: Adaptive single- and multi-fidelity sparse grid approximation in Julia

Julia
@benmkent
10.21105/joss.08300
published Published almost 2 years ago

PeakPerformance - A tool for Bayesian inference-based fitting of LC-MS/MS peaks

Python
@MicroPhen
10.21105/joss.07313
published Published about 2 years ago

Fortuna.jl: Structural and System Reliability Analysis in Julia

Julia
@AkchurinDA
10.21105/joss.06967
published Published about 2 years ago

SOUPy: Stochastic PDE-constrained optimization under high-dimensional uncertainty in Python

Python Jupyter Notebook
@dc-luo
10.21105/joss.06101
Displaying papers 1 - 10 of 33 in total

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ISSN 2475-9066