Forward Mode Automatic Differentiation for Julia

Statically sized arrays for Julia

Progress meter for long-running computations

Julia implementation of Data structures

Basic statistics for Julia

Special mathematical functions in Julia

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

An interface for tables 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.

Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms

Reduce time-to-first-execution of Julia code

Abstract julia interfaces for working with trees

Lazy code loading for Julia

Julia package for lazily representing matrices filled with a single entry

Update immutable data

Update deeply nested immutable structs.

Julia macro for re-exporting one module from another

Compatibility across Julia versions

Composable Loggers for the Julia Logging StdLib

Project Preferences Package

Extensions for Julia's docsystem.

Uniform Interface for positive definite matrices of various structures

Package for checking function arguments

Julia implementation of associative containers that preserve insertion order

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SparseArrays.jl is a Julia stdlib

Abstract types and interfaces for Markov chain Monte Carlo methods

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

Convenient macros for in-place matrix operations in Julia

Extra sorting algorithms extending Julia's sorting API

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

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A performant, 100% native-julia SHA1, SHA2, and SHA3 implementation

Logging sinks and utilites for interactive terminals

A common framework for implementing and using log densities for inference.

Naïve combined subexpression elimination in Julia