Gaussian Processes for Machine Learning in Julia (@JuliaGaussianProcesses)
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JuliaGaussianProcesses

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  • Stars
    star
    1,189
  • Global Org. Rank 13,682 (Top 5 %)
  • Registered about 5 years ago
  • Most used languages
    Julia
         94.1 %
    HTML
         5.9 %

Top repositories

1

Stheno.jl

Probabilistic Programming with Gaussian processes in Julia
Julia
340
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2

KernelFunctions.jl

Julia package for kernel functions for machine learning
Julia
267
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3

AbstractGPs.jl

Abstract types and methods for Gaussian Processes.
Julia
219
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4

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
star
5

ParameterHandling.jl

Foundational tooling for handling collections of parameters in models
Julia
72
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6

GPLikelihoods.jl

Provides likelihood functions for Gaussian Processes.
Julia
43
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7

ApproximateGPs.jl

Approximations for Gaussian processes: sparse variational inducing point approximations, Laplace approximation, ...
Julia
35
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8

BayesianLinearRegressors.jl

Bayesian Linear Regression in Julia
Julia
30
star
9

AugmentedGPLikelihoods.jl

Provide all functions needed to work with augmented likelihoods (conditionally conjugate with Gaussians)
Julia
20
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10

InducingPoints.jl

Package for different inducing points selection methods
Julia
8
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11

LinearMixingModels.jl

http://proceedings.mlr.press/v119/bruinsma20a.html
Julia
6
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12

KernelSpectralDensities.jl

Julia
6
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13

RandomFourierFeatures.jl

[WIP] Random Fourier Feature approximations for KernelFunctions.jl
Julia
3
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14

EasyGPs.jl

Easy automatic fitting of JuliaGP models
Julia
3
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15

AbstractGPsMakie.jl

Plots of Gaussian processes with AbstractGPs and Makie
Julia
2
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16

JuliaGPsDocs.jl

General setup to generate examples for the JuliaGP packages
Julia
1
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17

JuliaGaussianProcesses.github.io

Website for the JuliaGaussianProcesses organisation and its packages
HTML
1
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