12 open source projects by JuliaDiff

Reverse Mode Automatic Differentiation for Julia

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

A julia package for Taylor polynomial expansions in one and several independent variables.

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

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

Fast jacobian computation through sparsity exploitation and matrix coloring

Forward Mode Automatic Differentiation for Julia

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.

Next-generation AD

Julia package for representing dual numbers and for performing dual algebra

A package which provides an API for querying differentiation results at multiple orders simultaneously

An abstract interface for automatic differentiation.