13 Packages since 2017
User Packages
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KernelFunctions.jl240Julia package for kernel functions for machine learning
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RandomFourierFeatures.jl3[WIP] Random Fourier Feature approximations for KernelFunctions.jl
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ParameterHandling.jl56Foundational tooling for handling collections of parameters in models
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AbstractGPs.jl192Abstract types and methods for Gaussian Processes.
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TemporalGPs.jl91Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html
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ApproximateGPs.jl34Approximations for Gaussian processes: sparse variational inducing point approximations, Laplace approximation, ...
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AugmentedGPLikelihoods.jl18Provide all functions needed to work with augmented likelihoods (conditionally conjugate with Gaussians)
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InducingPoints.jl7Package for different inducing points selection methods
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Stheno.jl324Probabilistic Programming with Gaussian processes in Julia
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BayesianLinearRegressors.jl28Bayesian Linear Regression in Julia
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LinearMixingModels.jl6Http://proceedings.mlr.press/v119/bruinsma20a.html
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GPLikelihoods.jl42Provides likelihood functions for Gaussian Processes.
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AbstractGPsMakie.jl2Plots of Gaussian processes with AbstractGPs and Makie
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