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‎Project.toml

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name = "KernelFunctions"
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uuid = "ec8451be-7e33-11e9-00cf-bbf324bd1392"
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version = "0.1.0"
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[deps]
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Distances = "b4f34e82-e78d-54a5-968a-f98e89d6e8f7"
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LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"

‎README.md

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# KernelFunctions.jl (WIP)
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Julia Package for kernel functions for machine learning
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## Objectives
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## Objectives (by priority)
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- ARD Kernels
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- AD Compatible (Zygote, ForwardDiff, ReverseDiff)
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- Kernel sum and product
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- Toeplitz Matrices
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- BLAS backend
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Directly inspired by the [MLKernels](https://github.com/trthatcher/MLKernels.jl)

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