A Julia framework for implementing FFTs

Abstract julia interfaces for working with trees

Update immutable data

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An efficient sampler for discrete random variables

Package for checking function arguments

Tools for writing functions that handle many kinds of IO arguments

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

Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations

Efficient filtering and linear algebra routines for multidimensional arrays

Performant arrays where each dimension can have a named axis with values

Immutables as mutables, mutables as immutables.

Base API optimized for tuples

A benchmarking framework for the Julia language

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

Bit twiddling convenience functions.

Implements the Bote-Salvat ionization crosssection model

Calculus functions in Julia

Arrays for working with categorical data (both nominal and ordinal)

Julia package for indices-aware array concatenation and growth

C-compatible enum for 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.

Interface for transformation functions in Julia

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A Julia package for data clustering

A bzip2 codec for TranscodingStreams.jl.

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 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

Declarative vector graphics

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Julia package for selecting hardware, libraries, and algorithms for a computation

Concurrent data structures for Julia

Utilities for doing multithreaded or distributed work in Julia