Projects in Awesome Lists by JuliaGaussianProcesses
A curated list of projects in awesome lists by JuliaGaussianProcesses .
https://github.com/juliagaussianprocesses/stheno.jl
Probabilistic Programming with Gaussian processes in Julia
approximate-inference bayesian-inference gaussian-processes machine-learning probabilistic-programming
Last synced: 12 Oct 2025
https://github.com/JuliaGaussianProcesses/Stheno.jl
Probabilistic Programming with Gaussian processes in Julia
approximate-inference bayesian-inference gaussian-processes machine-learning probabilistic-programming
Last synced: 04 May 2025
https://github.com/JuliaGaussianProcesses/KernelFunctions.jl
Julia package for kernel functions for machine learning
gaussian-processes kernel-functions kernels machine-learning
Last synced: 27 Mar 2025
https://github.com/juliagaussianprocesses/kernelfunctions.jl
Julia package for kernel functions for machine learning
gaussian-processes kernel-functions kernels machine-learning
Last synced: 16 Jan 2026
https://github.com/juliagaussianprocesses/abstractgps.jl
Abstract types and methods for Gaussian Processes.
gaussian-processes gps julia probabilistic-programming
Last synced: 15 May 2025
https://github.com/JuliaGaussianProcesses/TemporalGPs.jl
Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html
bayesian-inference gaussian-processes julia-language time-series
Last synced: 27 Mar 2025
https://github.com/juliagaussianprocesses/temporalgps.jl
Fast inference for Gaussian processes in problems involving time. Partly built on results from https://proceedings.mlr.press/v161/tebbutt21a.html
bayesian-inference gaussian-processes julia-language time-series
Last synced: 05 Apr 2025
https://github.com/juliagaussianprocesses/parameterhandling.jl
Foundational tooling for handling collections of parameters in models
Last synced: 16 Oct 2025
https://github.com/juliagaussianprocesses/gplikelihoods.jl
Provides likelihood functions for Gaussian Processes.
gaussian-processes likelihood likelihood-functions
Last synced: 09 Mar 2026
https://github.com/juliagaussianprocesses/approximategps.jl
Approximations for Gaussian processes: sparse variational inducing point approximations, Laplace approximation, ...
Last synced: 19 Jul 2025
https://github.com/juliagaussianprocesses/bayesianlinearregressors.jl
Bayesian Linear Regression in Julia
bayesian-inference machine-learning regression
Last synced: 22 Jul 2025
https://github.com/juliagaussianprocesses/augmentedgplikelihoods.jl
Provide all functions needed to work with augmented likelihoods (conditionally conjugate with Gaussians)
Last synced: 04 Jun 2026
https://github.com/juliagaussianprocesses/inducingpoints.jl
Package for different inducing points selection methods
Last synced: 26 Oct 2025
https://github.com/juliagaussianprocesses/linearmixingmodels.jl
http://proceedings.mlr.press/v119/bruinsma20a.html
Last synced: 11 Dec 2025
https://github.com/juliagaussianprocesses/abstractgpsmakie.jl
Plots of Gaussian processes with AbstractGPs and Makie
gaussian-processes julia makie plots
Last synced: 20 Jan 2026
https://github.com/juliagaussianprocesses/easygps.jl
Easy automatic fitting of JuliaGP models
Last synced: 19 Mar 2026
https://github.com/juliagaussianprocesses/randomfourierfeatures.jl
[WIP] Random Fourier Feature approximations for KernelFunctions.jl
Last synced: 19 Mar 2026
https://github.com/juliagaussianprocesses/juliagpsdocs.jl
General setup to generate examples for the JuliaGP packages
Last synced: 19 Mar 2026
https://github.com/juliagaussianprocesses/scalarkernelfunctions.jl
Kernel functions optimized for 1d input
Last synced: 09 Feb 2026
https://github.com/juliagaussianprocesses/juliagaussianprocesses.github.io
Website for the JuliaGaussianProcesses organisation and its packages
Last synced: 19 Mar 2026