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- An interface to various automatic differentiation backends in Julia.
Mooncake.jl
PublicChainRules.jl
Publicforward and reverse mode automatic differentiation primitives for Julia Base + StdLibsForwardDiff.jl
PublicForward Mode Automatic Differentiation for Julia- Taylor-mode automatic differentiation for higher-order derivatives
- AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your…
SparseMatrixColorings.jl
Public- Taylor polynomial expansions in one and several independent variables.
ReverseDiff.jl
PublicReverse Mode Automatic Differentiation for JuliaFiniteDifferences.jl
PublicHigh accuracy derivatives, estimated via numerical finite differences (formerly FDM.jl)DistributionsAD.jl
Public archiveBlueStyle
PublicA Julia style guide that lives in a blue worldPolyesterForwardDiff.jl
PublicDiffractor.jl
PublicDiffResults.jl
PublicChainRulesTestUtils.jl
PublicUtilities for testing custom AD primitives.SparseDiffTools.jl
Public archivejuliadiff.github.io
PublicDocThemeIndigo.jl
PublicDualNumbers.jl
PublicJulia package for representing dual numbers and for performing dual algebraDiffRules.jl
PublicDiffTests.jl
Public- Helpers for declaring ChainRules
HyperDualNumbers.jl
PublicCapstan.jl
Public
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