A Julia framework for implementing FFTs

Abstract types and methods for Gaussian Processes.

Abstract types and interfaces for Markov chain Monte Carlo methods

Abstract julia interfaces for working with trees

Update immutable data

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Repository for automatic differentiation backend types

Affine Invariant Markov Chain Monte Carlo (MCMC) Ensemble sampler

An efficient sampler for discrete random variables

Approximate Minimum Degree Ordering in Julia

Package for checking function arguments

Tools for writing functions that handle many kinds of IO arguments

Julia Wrappers for the arpack-ng Fortran library

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

Implementation of normalising flows and constrained random variable transformations

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

Bit twiddling convenience functions.

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

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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

Arrays with arbitrarily nested named components.

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