JOSS Papers: Gaussian

Published Papers

published Published about 6 hours ago

AutoEmulate: A Python package for semi-automated emulation

Python Jupyter Notebook

10.21105/joss.07626

published Published about 2 months ago

hetGPy: Heteroskedastic Gaussian Process Modeling in Python

Python C++ Jupyter Notebook R

10.21105/joss.07518

published Published 9 months ago

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

Python

10.21105/joss.06593

published Published about 1 year ago

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

R C++

10.21105/joss.05465

published Published about 1 year ago

PyBADS: Fast and robust black-box optimization in Python

Python

@GurjeetSinghSangra

10.21105/joss.05694

published Published over 1 year ago

parafields: A generator for distributed, stationary Gaussian processes

Python C++ Jupyter Notebook

10.21105/joss.05735

published Published over 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

GMP-Featurizer: A parallelized Python package for efficiently computing the Gaussian Multipole features of atomic systems

Python C++ C

10.21105/joss.05476

published Published over 1 year ago

SigCorr: A Python package for studies of trials factors

Jupyter Notebook Python

10.21105/joss.04989

published Published over 2 years ago

PyNM: a Lightweight Python implementation of Normative Modeling

Python Jupyter Notebook

10.21105/joss.04321

Displaying papers 1 - 10 of 24 in total

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