Fixing the world one invalidator at a time.

The dispatch doctor prescribes type stability

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

Implementation of Takahashi''s inverse subset algorithm for sparse matrices

Data Transfer Functionalities across Backends for Machine Learning Applications

Reduce time-to-first-execution of Julia code

Repository for automatic differentiation backend types

Interface designs for enforcing static computations in array functions with Julia

Makes Julia's package extensions backwards compatible

Interface package for StaticArrays.jl

SparseArrays.jl is a Julia stdlib

Compute `real(dot(x, y))` efficiently.

Interface for transformation functions in Julia

Interface for function inversion in Julia

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Defines additional irrationals

Static types useful for dispatch and generated functions.

Project Preferences Package

Under some conditions you may need this function

Scratch spaces for all your persistent mutable data needs

Parameterise all the things

Arrays with arbitrarily nested named components.

Reusable compiler infrastructure for Julia GPU backends.

Heterogeneous programming in Julia

Light-weight expression manipulation tools

An experimental code analyzer for Julia. No need for additional type annotations.

Primitives for construction of objects

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

Julia bindings for the Enzyme automatic differentiator

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.

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A data-focused namespace for packages to share functions

Optimisers.jl defines many standard optimisers and utilities for learning loops.

Flux's ex AD

Tools for manipulating Julia's lowered code

Interpreter for Julia code

It's editing-time, do you know where your methods are?

C-compatible enum for Julia