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- A Julia package work with spectral densities of stationary kernels.
TemporalGPs.jl
PublicFast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.htmlKernelFunctions.jl
PublicJulia package for kernel functions for machine learningAbstractGPs.jl
PublicAbstract types and methods for Gaussian Processes.AbstractGPsMakie.jl
PublicGPLikelihoods.jl
PublicProvides likelihood functions for Gaussian Processes.ApproximateGPs.jl
PublicEasyGPs.jl
PublicScalarKernelFunctions.jl
PublicParameterHandling.jl
PublicStheno.jl
PublicProbabilistic Programming with Gaussian processes in Julia.github
PublicInducingPoints.jl
PublicJuliaGPsDocs.jl
PublicLinearMixingModels.jl
Public- Bayesian Linear Regression in Julia
RandomFourierFeatures.jl
Public