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.

Reduce time-to-first-execution of Julia code

Interface package for StaticArrays.jl

SparseArrays.jl is a Julia stdlib

An optimized graphs package for the Julia programming language

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

Tools to help develop POMDP Models

`@pack!` and `@unpack` macros

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 data-focused namespace for packages to share functions

A Julia package for calculating hypergeometric functions

Julia implementation of zlib decompression

Julia implementation of associative containers that preserve insertion order

Fast parsing machinery for basic types in Julia

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

Some utilities for working with NamedTuples

Julia package for lazily representing matrices filled with a single entry

Common functional iterator patterns

Missing value support for Julia

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

Adaptive 1d numerical Gauss–Kronrod integration in Julia

Extensions for Julia's docsystem.

Special mathematical functions in Julia

Statically sized arrays for Julia

Color manipulation utilities for Julia

Mathematical functions related to statistics.

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

Unified measure and coordinates types

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

Simple Traits for Julia

Value iteration solver for MDPs

Basic color definitions and traits