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- An interface to various automatic differentiation backends in Julia.
- Taylor polynomial expansions in one and several independent variables.
- Taylor-mode automatic differentiation for higher-order derivatives
ChainRulesCore.jl
PublicAD-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 packages, without depending on any particular AD system.ReverseDiff.jl
Public- forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs
SparseDiffTools.jl
PublicForwardDiff.jl
PublicFiniteDifferences.jl
PublicHigh accuracy derivatives, estimated via numerical finite differences (formerly FDM.jl)PolyesterForwardDiff.jl
PublicDocThemeIndigo.jl
PublicDiffractor.jl
PublicDualNumbers.jl
Publicjuliadiff.github.io
PublicDiffResults.jl
PublicChainRulesTestUtils.jl
PublicUtilities for testing custom AD primitives.BlueStyle
PublicA Julia style guide that lives in a blue worldDiffRules.jl
PublicDiffTests.jl
Public- Helpers for declaring ChainRules
HyperDualNumbers.jl
PublicCapstan.jl
Public