JuliaDiff

Forward Mode Automatic Differentiation for Julia

JuliaDiff

forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs

JuliaDiff

Reverse Mode Automatic Differentiation for Julia

JuliaDiff

A Julia style guide that lives in a blue world

JuliaDiff

Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support

JuliaDiff

Taylor polynomial expansions in one and several independent variables.

JuliaDiff

High accuracy derivatives, estimated via numerical finite differences (formerly FDM.jl)

JuliaDiff

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...

JuliaDiff

Next-generation AD

JuliaDiff

Fast jacobian computation through sparsity exploitation and matrix coloring

JuliaDiff