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.

Forward Mode Automatic Differentiation for Julia

Macro(s) for vectorizing loops.

Reduce time-to-first-execution of Julia code

Multi-threaded BLAS-like library that provides pure Julia matrix multiplication

Compatibility across Julia versions

Extensions for Julia's docsystem.

Bring Your Own Stack

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

Statically sized arrays for Julia

Interface designs for enforcing static computations in array functions with Julia

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

Calculus functions in Julia

Interface for function inversion in Julia

SparseArrays.jl is a Julia stdlib

Naïve combined subexpression elimination in Julia

Interface for transformation functions in Julia

Fortran-like arrays with arbitrary, zero or negative starting indices.

A simple shared suite of common derivative definitions

Special mathematical functions in Julia

Static types useful for dispatch and generated functions.

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

Ask the CPU for cache sizes, SIMD feature support, a running hypervisor, and more.

Library supporting the ArrayInterface.jl strided array interface.

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Project Preferences Package

Stack-allocated pointer-based array views

`@pack!` and `@unpack` macros

Pirated SLEEF port.

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

Defines additional irrationals

Interface package for StaticArrays.jl

Fast, LoopVectorization.jl-based summary statistics

Base library providing vectorization-tools (ie, SIMD) that other libraries are built off of.

Fixing the world one invalidator at a time.

Scheduler for Polyester.jl and compatible libraries such as LoopVectorization.jl.

The core AbstractStrideArray type, separated from StrideArrays.jl to avoid circular dependencies.

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Bit twiddling convenience functions.

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