Gaussian Processes for Machine Learning in Julia

KernelFunctions.jl Public
Julia package for kernel functions for machine learning

Julia 220 MIT 24 61 (4 issues need help) 22 Updated May 24, 2022
AbstractGPs.jl Public
Abstract types and methods for Gaussian Processes.

Julia 156 21 34 (5 issues need help) 7 Updated May 16, 2022
JuliaGPsDocs.jl Public
General setup to generate examples for the JuliaGP packages

Julia 1 MIT 1 3 1 Updated May 12, 2022
AugmentedGPLikelihoods.jl Public
Provide all functions needed to work with augmented likelihoods (conditionally conjugate with Gaussians)

Julia 13 MIT 1 8 6 Updated May 10, 2022
GPLikelihoods.jl Public
Provides likelihood functions for Gaussian Processes.

Julia 40 MIT 6 18 4 Updated May 10, 2022
ApproximateGPs.jl Public
Approximations for Gaussian processes: sparse variational inducing point approximations, Laplace approximation, ...

Julia 29 4 14 (2 issues need help) 9 Updated May 9, 2022
AbstractGPsMakie.jl Public
Plots of Gaussian processes with AbstractGPs and Makie

Julia 2 MIT 0 0 0 Updated May 7, 2022
TemporalGPs.jl Public
Fast inference for Gaussian processes in problems involving time

Julia 84 MIT 5 8 9 Updated Apr 28, 2022
Stheno.jl Public
Probabilistic Programming with Gaussian processes in Julia

Julia 316 24 19 (2 issues need help) 0 Updated Apr 5, 2022
BayesianLinearRegressors.jl Public
Bayesian Linear Regression in Julia

Julia 28 MIT 2 1 0 Updated Feb 28, 2022

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