An interface to various automatic differentiation backends in Julia.

Automatic differentiation of implicit functions

A operator overloading, tape-based, reverse-mode AD

Repository for automatic differentiation backend types

Fast operator-overloading Jacobian & Hessian sparsity pattern detection.

Utilities for testing custom AD primitives.

Coloring algorithms for sparse Jacobian and Hessian matrices

Unitful and differentiable gravitational N-body simulation code in Julia

Auto differentiation over linear algebras (a Zygote extension)

Library for solving quantum optimal control problems in Julia. Currently offers support for GRAPE and dCRAB algorithms using piecewise constant controls.

Benchmark problems for decision-focused learning

A Julia package for differentiating through expectations with Monte-Carlo estimates

Differentiable wrapper for FrankWolfe.jl convex optimization routines

A tutorial on Automatic Differentiation

Autodiff via Enzyme.jl for Trixi.jl

Helpers for declaring ChainRules

Brief intro to using Julia as a numerical computation language, including experimenting with automatic differentiation (auto-diff).