Gaussian Processes for Machine Learning in Julia

Pinned Repositories

AbstractGPs.jl
Abstract types and methods for Gaussian Processes.
Language:Julia269 8 9926
ApproximateGPs.jl
Approximations for Gaussian processes: sparse variational inducing point approximations, Laplace approximation, ...
Language:Julia38 6 447
AugmentedGPLikelihoods.jl
Provide all functions needed to work with augmented likelihoods (conditionally conjugate with Gaussians)
Language:Julia22 2 121
BayesianLinearRegressors.jl
Bayesian Linear Regression in Julia
Language:Julia30 3 142
GPLikelihoods.jl
Provides likelihood functions for Gaussian Processes.
Language:Julia43 4 346
InducingPoints.jl
Package for different inducing points selection methods
Language:Julia8 3 120
KernelFunctions.jl
Julia package for kernel functions for machine learning
Language:Julia275 7 17840
ParameterHandling.jl
Foundational tooling for handling collections of parameters in models
Language:Julia72 3 3311
Stheno.jl
Probabilistic Programming with Gaussian processes in Julia
Language:Julia344 12 6927
TemporalGPs.jl
Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html
Language:Julia120 3 316

Gaussian Processes for Machine Learning in Julia's Repositories

JuliaGaussianProcesses/Stheno.jl
Probabilistic Programming with Gaussian processes in Julia
Language:Julia344 12 6927
JuliaGaussianProcesses/KernelFunctions.jl
Julia package for kernel functions for machine learning
Language:Julia275 7 17840
JuliaGaussianProcesses/AbstractGPs.jl
Abstract types and methods for Gaussian Processes.
Language:Julia269 8 9926
JuliaGaussianProcesses/TemporalGPs.jl
Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html
Language:Julia120 3 316
JuliaGaussianProcesses/ParameterHandling.jl
Foundational tooling for handling collections of parameters in models
Language:Julia72 3 3311
JuliaGaussianProcesses/GPLikelihoods.jl
Provides likelihood functions for Gaussian Processes.
Language:Julia43 4 346
JuliaGaussianProcesses/ApproximateGPs.jl
Approximations for Gaussian processes: sparse variational inducing point approximations, Laplace approximation, ...
Language:Julia38 6 447
JuliaGaussianProcesses/BayesianLinearRegressors.jl
Bayesian Linear Regression in Julia
Language:Julia30 3 142
JuliaGaussianProcesses/AugmentedGPLikelihoods.jl
Provide all functions needed to work with augmented likelihoods (conditionally conjugate with Gaussians)
Language:Julia22 2 121
JuliaGaussianProcesses/InducingPoints.jl
Package for different inducing points selection methods
Language:Julia8 3 120
JuliaGaussianProcesses/KernelSpectralDensities.jl
A Julia package work with spectral densities of stationary kernels.
Language:Julia8 2 1
JuliaGaussianProcesses/LinearMixingModels.jl
http://proceedings.mlr.press/v119/bruinsma20a.html
Language:Julia5 3 170
JuliaGaussianProcesses/AbstractGPsMakie.jl
Plots of Gaussian processes with AbstractGPs and Makie
Language:Julia3 2 80
JuliaGaussianProcesses/EasyGPs.jl
Easy automatic fitting of JuliaGP models
Language:Julia3 3 00
JuliaGaussianProcesses/RandomFourierFeatures.jl
[WIP] Random Fourier Feature approximations for KernelFunctions.jl
Language:Julia3 2 30
JuliaGaussianProcesses/JuliaGaussianProcesses.github.io
Website for the JuliaGaussianProcesses organisation and its packages
Language:HTML1 4 3
JuliaGaussianProcesses/JuliaGPsDocs.jl
General setup to generate examples for the JuliaGP packages
Language:Julia1 3 61
JuliaGaussianProcesses/.github
4 02
JuliaGaussianProcesses/EcosystemIntegrationTesting
Language:Julia6 0
JuliaGaussianProcesses/ScalarKernelFunctions.jl
Kernel functions optimized for 1d input
Language:Julia3 1