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.

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

Reduce time-to-first-execution of Julia code

Interface package for StaticArrays.jl

A package for reading and writing files with delimited values (Originally a Julia stdlib)

Efficient Implementation of Marching Cubes' Cases with Topological Guarantees

SparseArrays.jl is a Julia stdlib

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

Interface for transformation functions in Julia

Interface for function inversion in Julia

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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Lightweight package for sharing tensor-algebra definitions

Richardson extrapolation 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

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A data-focused namespace for packages to share functions

C-compatible enum for Julia

Forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs

A Julia package for calculating hypergeometric functions

Mike's Little Intermediate Representation

21st century AD

An interface for tables in Julia

Julia implementation of associative containers that preserve insertion order

Efficient implementation of struct arrays in Julia

High accuracy derivatives, estimated via numerical finite differences (formerly FDM.jl)

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Julia package for lazily representing matrices filled with a single entry

Traits for julia iterators

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