Gaussian Processes for Machine Learning in Julia

All

20 repositories

AbstractGPs.jl
Public
Abstract types and methods for Gaussian Processes.
probabilistic-programming julia gps gaussian-processes
Julia
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Other
•21•220•30•11•Updated Oct 24, 2024Oct 24, 2024
TemporalGPs.jl
Public
Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html
time-series julia-language bayesian-inference gaussian-processes
Julia
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MIT License
•5•120•15•0•Updated Sep 29, 2024Sep 29, 2024
KernelFunctions.jl
Public
Julia package for kernel functions for machine learning
machine-learning gaussian-processes kernels kernel-functions
Julia
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MIT License
•32•266•79•36•Updated Jul 28, 2024Jul 28, 2024
GPLikelihoods.jl
Public
Provides likelihood functions for Gaussian Processes.
gaussian-processes likelihood likelihood-functions
Julia
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MIT License
•5•42•20•3•Updated Jul 21, 2024Jul 21, 2024
AugmentedGPLikelihoods.jl
Public
Provide all functions needed to work with augmented likelihoods (conditionally conjugate with Gaussians)
Julia
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MIT License
•1•20•8•2•Updated Jul 20, 2024Jul 20, 2024
ApproximateGPs.jl
Public
Approximations for Gaussian processes: sparse variational inducing point approximations, Laplace approximation, ...
Julia
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Other
•6•36•16•9•Updated Jul 14, 2024Jul 14, 2024
KernelSpectralDensities.jl
Public
Julia
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MIT License
•0•6•0•4•Updated Jun 19, 2024Jun 19, 2024
AbstractGPsMakie.jl
Public
Plots of Gaussian processes with AbstractGPs and Makie
julia plots gaussian-processes makie
Julia
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MIT License
•0•2•0•0•Updated Jun 1, 2024Jun 1, 2024
EasyGPs.jl
Public
Easy automatic fitting of JuliaGP models
Julia
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MIT License
•0•3•0•0•Updated Mar 9, 2024Mar 9, 2024
ScalarKernelFunctions.jl
Public
Kernel functions optimized for 1d input
Julia
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MIT License
•0•0•0•0•Updated Mar 1, 2024Mar 1, 2024
ParameterHandling.jl
Public
Foundational tooling for handling collections of parameters in models
Julia
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MIT License
•11•72•17•2•Updated Feb 26, 2024Feb 26, 2024
Stheno.jl
Public
Probabilistic Programming with Gaussian processes in Julia
machine-learning probabilistic-programming bayesian-inference approximate-inference gaussian-processes
Julia
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Other
•26•340•19•2•Updated Oct 30, 2023Oct 30, 2023
JuliaGaussianProcesses.github.io
Public
Website for the JuliaGaussianProcesses organisation and its packages
HTML
•0•1•3•0•Updated Sep 15, 2023Sep 15, 2023
.github
Public
MIT License
•2•0•0•0•Updated Sep 15, 2023Sep 15, 2023
InducingPoints.jl
Public
Package for different inducing points selection methods
Julia
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MIT License
•0•8•3•1•Updated May 3, 2023May 3, 2023
JuliaGPsDocs.jl
Public
General setup to generate examples for the JuliaGP packages
Julia
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MIT License
•1•1•3•0•Updated Apr 28, 2023Apr 28, 2023
LinearMixingModels.jl
Public
http://proceedings.mlr.press/v119/bruinsma20a.html
Julia
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MIT License
•0•6•6•2•Updated Mar 31, 2023Mar 31, 2023
BayesianLinearRegressors.jl
Public
Bayesian Linear Regression in Julia
machine-learning regression bayesian-inference
Julia
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MIT License
•2•30•2•0•Updated Dec 16, 2022Dec 16, 2022
RandomFourierFeatures.jl
Public
[WIP] Random Fourier Feature approximations for KernelFunctions.jl
Julia
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Other
•0•3•1•0•Updated Feb 27, 2022Feb 27, 2022
EcosystemIntegrationTesting
Public
Julia
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MIT License
•0•0•0•0•Updated Dec 1, 2021Dec 1, 2021