A Julia package for probability distributions and associated functions.

Forward Mode Automatic Differentiation for Julia

Statically sized arrays for Julia

Julia implementation of Data structures

Basic statistics for Julia

Special mathematical functions in Julia

Root finding functions for Julia

Simple curve fitting in Julia

MacroTools provides a library of tools for working with Julia code and expressions.

Adaptive 1d numerical Gauss–Kronrod integration in Julia

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.

Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support

Mathematical functions related to statistics.

Reduce time-to-first-execution of Julia code

Lazy code loading for Julia

Julia package for lazily representing matrices filled with a single entry

Update immutable data

Julia macro for re-exporting one module from another

Compatibility across Julia versions

Project Preferences Package

Extensions for Julia's docsystem.

Uniform Interface for positive definite matrices of various structures

Julia implementation of associative containers that preserve insertion order

SparseArrays.jl is a Julia stdlib

A simple shared suite of common derivative definitions

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

Missing value support for Julia

A Julia package for calculating hypergeometric functions

Extra sorting algorithms extending Julia's sorting API

Julia math built-ins which return NaN and accumulator functions which ignore NaN

Naïve combined subexpression elimination in Julia

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

Primitives for construction of objects

A data-focused namespace for packages to share functions

Base package for optimization and equation solver software in JuliaNLSolvers

Interface for function inversion in Julia

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

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

A statistics-focused namespace for packages to share functions

Back to the stone age!