JOSS Papers: Gaussian

All Papers
4084
 Published Papers
3674
 Active Papers
410
published Published 3 months ago

GaPFlow: Gap-averaged flow simulations with Gaussian process regression

Python
@hannes-holey
10.21105/joss.09645
published Published 4 months ago

J-UBIK: The JAX-accelerated Universal Bayesian Imaging Kit

Python
@wmarg
10.21105/joss.07768
published Published 5 months ago

DSWL package: a Python implementation of the Debiased Spatial Whittle Likelihood

Python
@ArthurBarthe
10.21105/joss.08323
published Published 7 months ago

geospaNN: A Python package for geospatial neural networks

Python
@WentaoZhan1998
10.21105/joss.08389
published Published 7 months ago

HiGP: A high-performance Python package for Gaussian Processes

C++ C MATLAB
@huanghua1994
10.21105/joss.08621
published Published 10 months ago

pyMultiFit: A Python library for fitting data with multiple models

Python
@syedalimohsinbukhari
10.21105/joss.09295
published Published over 1 year ago

AutoEmulate: A Python package for semi-automated emulation

Python Jupyter Notebook
@mastoffel
10.21105/joss.07626
published Published over 1 year ago

hetGPy: Heteroskedastic Gaussian Process Modeling in Python

Python C++ Jupyter Notebook R
@davidogara
10.21105/joss.07518
published Published about 2 years ago

Re-Envisioning Numerical Information Field Theory (NIFTy.re): A Library for Gaussian Processes and Variational Inference

Python
@Edenhofer
10.21105/joss.06593
published Published over 2 years ago

GPCERF - An R package for implementing Gaussian processes for estimating causal exposure response curves

R C++
@naeemkh
10.21105/joss.05465
Displaying papers 1 - 10 of 30 in total

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ISSN 2475-9066