JOSS Papers: reviewed by @ziyiyin97

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315
published Published about 1 month ago

FastVPINNs: An efficient tensor-based Python library for solving partial differential equations using hp-Variational Physics Informed Neural Networks

Python
@thivinanandh
10.21105/joss.06764
published Published 3 months ago

OpenGeoSysUncertaintyQuantification.jl: a Julia library implementing an uncertainty quantification toolbox for OpenGeoSys

Julia
@baxmittens
10.21105/joss.06725
published Published 12 months ago

PyThia: A Python package for Uncertainty Quantification based on non-intrusive polynomial chaos expansions

Python
@Nando-Farchmin
10.21105/joss.05489
published Published about 1 year ago

GaussianRandomFields.jl: A Julia package to generate and sample from Gaussian random fields

Julia
@PieterjanRobbe
10.21105/joss.05595
published Published over 1 year ago

EnsembleKalmanProcesses.jl: Derivative-free ensemble-based model calibration

Julia
@odunbar
10.21105/joss.04869
Displaying 5 papers

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ISSN 2475-9066