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.

Reachability analysis for closed-loop control systems in Julia

Julia package for representing dual numbers and for performing dual algebra

Optimal addition-chain exponentiation for Julia

Forward Mode Automatic Differentiation for Julia

Julia implementation of HyperDualNumbers

A common interface for quadrature and numerical integration for the SciML scientific machine learning organization

Reverse automated differentiation from source