Update immutable data

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An efficient sampler for discrete random variables

Package for checking function arguments

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

Immutables as mutables, mutables as immutables.

Base API optimized for tuples

Bit twiddling convenience functions.

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.

Interface for transformation functions in Julia

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A combinatorics library for Julia

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

Naïve combined subexpression elimination in Julia

Fixing the world one invalidator at a time.

Compatibility across Julia versions

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Primitives for construction of objects

A fully `Distributions.jl`-compliant copula package

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

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One- and multi-dimensional adaptive integration routines for the Julia language

A data-focused namespace for packages to share functions

Julia implementation of Data structures

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Interface for mathematical/statistical densities in Julia

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

A simple shared suite of common derivative definitions

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

A Julia package for probability distributions and associated functions.

Extensions for Julia's docsystem.

Julia package for lazily representing matrices filled with a single entry

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Forward Mode Automatic Differentiation for Julia

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A Julia package for calculating hypergeometric functions

Under some conditions you may need this function

Canonical default initial values and identity elements for Julia

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