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Stheno.jl
Probabilistic Programming with Gaussian processes in JuliaKernelFunctions.jl
Julia package for kernel functions for machine learningAbstractGPs.jl
Abstract types and methods for Gaussian Processes.TemporalGPs.jl
Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.htmlParameterHandling.jl
Foundational tooling for handling collections of parameters in modelsGPLikelihoods.jl
Provides likelihood functions for Gaussian Processes.ApproximateGPs.jl
Approximations for Gaussian processes: sparse variational inducing point approximations, Laplace approximation, ...BayesianLinearRegressors.jl
Bayesian Linear Regression in JuliaAugmentedGPLikelihoods.jl
Provide all functions needed to work with augmented likelihoods (conditionally conjugate with Gaussians)InducingPoints.jl
Package for different inducing points selection methodsLinearMixingModels.jl
http://proceedings.mlr.press/v119/bruinsma20a.htmlKernelSpectralDensities.jl
EasyGPs.jl
Easy automatic fitting of JuliaGP modelsAbstractGPsMakie.jl
Plots of Gaussian processes with AbstractGPs and MakieJuliaGPsDocs.jl
General setup to generate examples for the JuliaGP packagesJuliaGaussianProcesses.github.io
Website for the JuliaGaussianProcesses organisation and its packagesLove Open Source and this site? Check out how you can help us