Update immutable data

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Repository for automatic differentiation backend types

The Arnoldi Method with Krylov-Schur restart, natively in Julia.

Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations

C-compatible enum 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.

Interface for transformation functions in Julia

Naïve combined subexpression elimination in Julia

Fixing the world one invalidator at a time.

Compatibility across Julia versions

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Primitives for construction of objects

Julia implementation of Data structures

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

A simple shared suite of common derivative definitions

Create and control multiple Julia processes remotely for distributed computing. Ships as a Julia stdlib.

Extensions for Julia's docsystem.

Julia bindings for the Enzyme automatic differentiator

Light-weight expression manipulation tools

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

Forward Mode Automatic Differentiation for Julia

Reusable compiler infrastructure for Julia GPU backends.

An optimized graphs package for the Julia programming language

Under some conditions you may need this function

Julia implementation of zlib decompression

Interface for function inversion in Julia

Defines additional irrationals

Heterogeneous programming in Julia

Julia Wrapper for the KLU sparse matrix solver from SuiteSparse

A Julia Basket of Hand-Picked Krylov Methods

The ultimate collection of preconditioners

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An optimized graphs package for the Julia programming language

Julia wrapper for the LLVM C API

Julia package for various special functions based on `log` and `exp`.

MacroTools provides a library of tools for working with Julia code and expressions.

Julia interface to Metis graph partitioning

Julia math built-ins which return NaN and accumulator functions which ignore NaN

Object File (ELF, MachO, COFF/PE, etc...) parser for Julia