Declarative vector graphics

A Julia package for probability distributions and associated functions.

JSON parsing and printing

Basic statistics for Julia

Archive of functions that emulate R's d-p-q-r functions for probability distributions

Julia implementation of Data structures

A combinatorics library for Julia

Extra sorting algorithms extending Julia's sorting API

Uniform Interface for positive definite matrices of various structures

Fixed point types for julia

Julia macro for re-exporting one module from another

Compatibility across Julia versions

Lazy code loading for Julia

Types with default field values, keyword constructors and (un-)pack macros

Basic color definitions and traits

Value iteration solver for MDPs

Simple Traits for Julia

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

Unified measure and coordinates types

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

Mathematical functions related to statistics.

Color manipulation utilities for Julia

Statically sized arrays for Julia

Special mathematical functions in Julia

Extensions for Julia's docsystem.

Adaptive 1d numerical Gauss–Kronrod integration in Julia

Simple particle filter implementation in Julia - works with POMDPs.jl models or others.

Missing value support for Julia

Common functional iterator patterns

Julia package for lazily representing matrices filled with a single entry

Some utilities for working with NamedTuples

The Arnoldi Method with Krylov-Schur restart, natively in Julia.

Fast parsing machinery for basic types in Julia

Julia implementation of associative containers that preserve insertion order

Julia implementation of zlib decompression

A Julia package for calculating hypergeometric functions

A data-focused namespace for packages to share 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.

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

`@pack!` and `@unpack` macros