Back to the stone age!

An efficient sampler for discrete random variables

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

Reduce time-to-first-execution of Julia code

Interface package for StaticArrays.jl

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SparseArrays.jl is a Julia stdlib

Interface for transformation functions in Julia

Interface for function inversion in Julia

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Interface for mathematical/statistical densities in Julia

Defines additional irrationals

A statistics-focused namespace for packages to share functions

Project Preferences Package

Update immutable data

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Parameterise all the things

Heterogeneous programming in Julia

Primitives for construction of objects

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.

A common solve function for scientific machine learning (SciML) and beyond

A data-focused namespace for packages to share functions

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

Flux's ex AD

C-compatible enum for Julia

A Julia package for calculating hypergeometric functions

Julia implementation of associative containers that preserve insertion order

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Julia package for lazily representing matrices filled with a single entry

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

A simple shared suite of common derivative definitions

Neural Network primitives with multiple backends

Missing value support for Julia

Naïve combined subexpression elimination in Julia

Adaptive 1d numerical Gauss–Kronrod integration in Julia

Julia wrapper for the LLVM C API

Extensions for Julia's docsystem.

Reusable array functionality for Julia's various GPU backends.