An efficient sampler for discrete random variables

A benchmarking framework for the Julia language

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.

Interface for transformation functions in Julia

A bzip2 codec for TranscodingStreams.jl.

Zlib codecs for TranscodingStreams.jl.

Naïve combined subexpression elimination in Julia

Compatibility across Julia versions

A data-focused namespace for packages to share functions

Julia implementation of Data structures

Interface for mathematical/statistical densities in Julia

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

A simple shared suite of common derivative definitions

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

A Julia package for probability distributions and associated functions.

Extensions for Julia's docsystem.

Implementation of Extended Phase Graph simulation for MRI compatible with Automatic Differentiation

Julia package for lazily representing matrices filled with a single entry

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

Forward Mode Automatic Differentiation for Julia

A Julia package for calculating hypergeometric functions

Interface for function inversion in Julia

Defines additional irrationals

JSON parsing and printing

Line search methods for optimization and root-finding

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

Simple curve fitting in Julia

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

A data structure for mathematical optimization problems

Missing value support for Julia

Interface for arithmetics on mutable types in Julia

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

Base package for optimization and equation solver software in JuliaNLSolvers

Optimization functions for Julia

Julia implementation of associative containers that preserve insertion order

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

Fast parsing machinery for basic types in Julia

Uniform Interface for positive definite matrices of various structures

Positive-definite "approximations" to matrices

Reduce time-to-first-execution of Julia code