An abstract interface for automatic differentiation.

A Julia framework for implementing FFTs

Update immutable data

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Repository for automatic differentiation backend types

Affine affine transformations in Julia

An efficient sampler for discrete random variables

Package for checking function arguments

Tools for writing functions that handle many kinds of IO arguments

Efficient storage and handling of nested arrays in Julia

Operators based on automatic differentiation in Julia

Efficient filtering and linear algebra routines for multidimensional arrays

A Bayesian Analysis Toolkit in Julia

A benchmarking framework for the Julia language

BitFlag.jl provides an Enum-like type for bit flag option values.

Calculus functions in Julia

C-compatible enum for Julia

Forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs

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 Julia package for data clustering

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Zlib codecs for TranscodingStreams.jl.

Color manipulation utilities for Julia

Colorschemes, colormaps, gradients, and palettes

Basic color definitions and traits

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

A combinatorics library for Julia

A common solve function for scientific machine learning (SciML) and beyond

Naïve combined subexpression elimination in Julia

Fixing the world one invalidator at a time.

Compatibility across Julia versions

A common interface for composite types, which may consist of several components

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Utilities for doing multithreaded or distributed work in Julia

Primitives for construction of objects

Calculating contour curves for 2D scalar fields in Julia

A data-focused namespace for packages to share functions

Julia implementation of Data structures

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