KernelFunctions.jl

KernelFunctions.jl is a general purpose kernel package. It provides a flexible framework for creating kernel functions and manipulating them, and an extensive collection of implementations. The main goals of this package are:

• Flexibility: operations between kernels should be fluid and easy without breaking, with a user-friendly API.
• Plug-and-play: being model-agnostic; including the kernels before/after other steps should be straightforward. To interoperate well with generic packages for handling parameters like ParameterHandling.jl and FluxML's Functors.jl.
• Automatic Differentiation compatibility: all kernel functions which ought to be differentiable using AD packages like ForwardDiff.jl or Zygote.jl should be.

This package replaces the now-defunct MLKernels.jl. It incorporates lots of excellent existing work from packages such as GaussianProcesses.jl, and is used in downstream packages such as AbstractGPs.jl, ApproximateGPs.jl, Stheno.jl, and AugmentedGaussianProcesses.jl.

See the User guide for a brief introduction.