A Julia package for probability distributions and associated functions.

Julia implementation of Data structures

Formatted output of timed sections in Julia

Basic statistics for Julia

Special mathematical functions in Julia

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.

Mathematical functions related to statistics.

Reduce time-to-first-execution of Julia code

Color manipulation utilities for Julia

Lazy code loading for Julia

Fortran-like arrays with arbitrary, zero or negative starting indices.

Julia package for lazily representing matrices filled with a single entry

Data Structures for Optimization Models

Julia macro for re-exporting one module from another

Linear Operators for Julia

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

-

Lazy in-place transformations of arrays

SparseArrays.jl is a Julia stdlib

Fixed point types for julia

Light-weight expression manipulation tools

Basic color definitions and traits

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

Missing value support for Julia

A Julia package for calculating hypergeometric functions

Faster closure variable capture

Extra sorting algorithms extending Julia's sorting API

Add virtual padding to the edges of an array

Treat colors as if they are n-vectors for the purposes of arithmetic

A data-focused namespace for packages to share functions

Interface for function inversion in Julia

Julia types for representing images

Lightweight package for sharing tensor-algebra definitions

Julia package for lazily viewing a 3D or 4D array as an expanded 2D array in the form of a mosaic of matrix slices

A Julia package for adding different kinds of noise to signals like time series or images.