Fixing the world one invalidator at a time.

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

Reduce time-to-first-execution of Julia code

Interface designs for enforcing static computations in array functions with Julia

Bring Your Own Stack

Interface package for StaticArrays.jl

SparseArrays.jl is a Julia stdlib

Interface for transformation functions in Julia

Interface for function inversion in Julia

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

Bit twiddling convenience functions.

Type declarations for other repos to depend on.

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Manual memory management utilities.

Fast, LoopVectorization.jl-based summary statistics

Defines additional irrationals

Static types useful for dispatch and generated functions.

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

Utilities for low overhead threading in Julia.

Library supporting the ArrayInterface.jl strided array interface.

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

Project Preferences Package

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`@pack!` and `@unpack` macros

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

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.

Pirated SLEEF port.

Macro(s) for vectorizing loops.

Vectorized uniform and normal random samplers.

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

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

Stack-allocated pointer-based array views

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

A simple shared suite of common derivative definitions

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

Naïve combined subexpression elimination in Julia