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.

Auto differentiation over linear algebras (a Zygote extension)

Coloring algorithms for sparse Jacobian and Hessian matrices

Unitful and differentiable gravitational N-body simulation code in Julia

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

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

Benchmark problems for decision-focused learning

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).