JuliaGaussianProcesses/Stheno.jl
Probabilistic Programming with Gaussian processes in Julia
This tool helps researchers and data scientists analyze complex, multi-source data by modeling underlying relationships with Gaussian processes. You input various datasets with potential interdependencies, and it outputs predictions and uncertainties for unobserved data points or hidden processes. It's ideal for those working with multiple, related time series or spatial data where standard modeling approaches fall short.
344 stars. No commits in the last 6 months.
Use this if you need to build flexible probabilistic models that can handle multiple related data streams or infer hidden components from noisy observations, especially when standard Gaussian process methods are too restrictive.
Not ideal if you're looking for a simple, off-the-shelf regression or classification tool for single datasets, or if you prefer working outside the Julia programming language.
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344
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27
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Julia
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Last pushed
Apr 01, 2025
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