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- DifferentiationInterface.jl Public
An interface to various automatic differentiation backends in Julia.
JuliaDiff/DifferentiationInterface.jl’s past year of commit activity - ChainRulesCore.jl Public
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 packages, without depending on any particular AD system.
JuliaDiff/ChainRulesCore.jl’s past year of commit activity - ChainRules.jl Public
forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs
JuliaDiff/ChainRules.jl’s past year of commit activity - SparseDiffTools.jl Public
Fast jacobian computation through sparsity exploitation and matrix coloring
JuliaDiff/SparseDiffTools.jl’s past year of commit activity - FiniteDiff.jl Public
Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support
JuliaDiff/FiniteDiff.jl’s past year of commit activity - FiniteDifferences.jl Public
High accuracy derivatives, estimated via numerical finite differences (formerly FDM.jl)
JuliaDiff/FiniteDifferences.jl’s past year of commit activity