Forward Mode Automatic Differentiation for Julia

Statically sized arrays for Julia

Macro(s) for vectorizing loops.

Formatted output of timed sections in Julia

Julia bindings for the Enzyme automatic differentiator

Heterogeneous programming in Julia

Special mathematical functions in Julia

Reusable array functionality for Julia's various GPU backends.

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

Calculus functions in 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.

The cheapest threads you can find!

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

Reduce time-to-first-execution of Julia code

Neural Network primitives with multiple backends

Abstract julia interfaces for working with trees

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

Lazy code loading for Julia

Julia macro for re-exporting one module from another

Reusable compiler infrastructure for Julia GPU backends.

Compatibility across Julia versions

The dispatch doctor prescribes type stability

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

Julia wrapper for the LLVM C API

Project Preferences Package

Extensions for Julia's docsystem.

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SparseArrays.jl is a Julia stdlib

`@pack!` and `@unpack` macros

A Julia API for hwloc

Light-weight expression manipulation tools

A simple shared suite of common derivative definitions

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

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

Scratch spaces for all your persistent mutable data needs

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

Faster closure variable capture

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

Static types useful for dispatch and generated functions.

Julia implementation of HyperDualNumbers