JuliaDiff
JuliaDiff
ForwardDiff.jl
Forward Mode Automatic Differentiation for Julia
ChainRules.jl
forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs
ReverseDiff.jl
Reverse Mode Automatic Differentiation for Julia
BlueStyle
A Julia style guide that lives in a blue world
FiniteDiff.jl
Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support
TaylorSeries.jl
Taylor polynomial expansions in one and several independent variables.
FiniteDifferences.jl
High accuracy derivatives, estimated via numerical finite differences (formerly FDM.jl)
ChainRulesCore.jl
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 part...
SparseDiffTools.jl
Fast jacobian computation through sparsity exploitation and matrix coloring