JOSS Papers: Gaussian

All Papers
3960
 Published Papers
3422
 Active Papers
538
published Published 15 days ago

geospaNN: A Python package for geospatial neural networks

Python
@WentaoZhan1998
10.21105/joss.08389
published Published about 1 month ago

HiGP: A high-performance Python package for Gaussian Processes

C++ C MATLAB
@huanghua1994
10.21105/joss.08621
published Published 4 months ago

pyMultiFit: A Python library for fitting data with multiple models

Python
@syedalimohsinbukhari
10.21105/joss.09295
published Published 11 months ago

AutoEmulate: A Python package for semi-automated emulation

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

hetGPy: Heteroskedastic Gaussian Process Modeling in Python

Python C++ Jupyter Notebook R
@davidogara
10.21105/joss.07518
published Published over 1 year 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 almost 2 years ago

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

R C++
@naeemkh
10.21105/joss.05465
published Published almost 2 years ago

PyBADS: Fast and robust black-box optimization in Python

Python
@GurjeetSinghSangra
10.21105/joss.05694
published Published about 2 years ago

parafields: A generator for distributed, stationary Gaussian processes

Python C++ Jupyter Notebook
@dokempf
10.21105/joss.05735
published Published over 2 years ago

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

Julia
@PieterjanRobbe
10.21105/joss.05595
Displaying papers 1 - 10 of 27 in total

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ISSN 2475-9066