Discover JuliaGaussianProcesses/ApproximateGPs.jl Open Source project

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Created over 3 years ago
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JuliaGaussianProcesses

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Approximations for Gaussian processes: sparse variational inducing point approximations, Laplace approximation, ...

Stheno.jl

Probabilistic Programming with Gaussian processes in Julia

Julia

340

KernelFunctions.jl

Julia package for kernel functions for machine learning

Julia

267

AbstractGPs.jl

Abstract types and methods for Gaussian Processes.

Julia

219

TemporalGPs.jl

Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html

Julia

121

ParameterHandling.jl

Foundational tooling for handling collections of parameters in models

Julia

GPLikelihoods.jl

Provides likelihood functions for Gaussian Processes.

Julia

BayesianLinearRegressors.jl

Bayesian Linear Regression in Julia

Julia

AugmentedGPLikelihoods.jl

Provide all functions needed to work with augmented likelihoods (conditionally conjugate with Gaussians)

Julia

InducingPoints.jl

Package for different inducing points selection methods

Julia

LinearMixingModels.jl

http://proceedings.mlr.press/v119/bruinsma20a.html

Julia

KernelSpectralDensities.jl

Julia

RandomFourierFeatures.jl

[WIP] Random Fourier Feature approximations for KernelFunctions.jl

Julia

EasyGPs.jl

Easy automatic fitting of JuliaGP models

Julia

AbstractGPsMakie.jl

Plots of Gaussian processes with AbstractGPs and Makie

Julia

JuliaGPsDocs.jl

General setup to generate examples for the JuliaGP packages

Julia

JuliaGaussianProcesses.github.io

Website for the JuliaGaussianProcesses organisation and its packages

HTML

JuliaGaussianProcesses/ApproximateGPs.jl

JuliaGaussianProcesses

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