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Add AbstractDifferentiation.jl (#20)
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@@ -77,6 +77,8 @@ Packages providing collections of derivatives of functions which can be used in
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- [SparsityDetection.jl](https://github.com/SciML/SparsityDetection.jl): Automatic Jacobian and Hessian sparsity pattern detection.
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- [SparseDiffTools.jl](https://github.com/JuliaDiff/SparseDiffTools.jl): Exploiting sparsity to speed up FiniteDiff.jl and ForwardDiff.jl, as well as other algorithms.
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### Interface
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- [AbstractDifferentiation.jl](https://github.com/JuliaDiff/AbstractDifferentiation.jl): AD backend-agnostic interface for algorithms that rely on derivatives, gradients, Jacobians, Hessians, etc.
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## Links for discussion and more information
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Discussions on JuliaDiff and its uses may be directed to the [Julia Discourse forum](https://discourse.julialang.org/)

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