Simple, consistent interfaces for any codec.

Primitives for construction of objects

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.

Forward Mode Automatic Differentiation for Julia

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

Julia implementation of Data structures

Julia macro for re-exporting one module from another

Julia bindings to the FFTW library for fast Fourier transforms

Julia wrapper for the LLVM C API

21st century AD

Optimization functions for Julia

Basic statistics for Julia

A data structure for mathematical optimization problems

Fixed point types for julia

A benchmarking framework for the Julia language

Reduce time-to-first-execution of Julia code

Add virtual padding to the edges of an array

Compatibility across Julia versions

A statistics-focused namespace for packages to share functions

Extensions for Julia's docsystem.

Positive-definite "approximations" to matrices

JSON parsing and printing

Reusable array functionality for Julia's various GPU backends.

Julia package for lazily representing matrices filled with a single entry

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Statically sized arrays for Julia

An interface for tables in Julia

Interface for arithmetics on mutable types in Julia

Fast, continuous interpolation of discrete datasets in Julia

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

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

Fast Poisson Random Numbers in pure Julia for scientific machine learning (SciML)

A Julia framework for implementing FFTs

Julia implementation of associative containers that preserve insertion order

Interface for function inversion in Julia

Lazy in-place transformations of arrays

SparseArrays.jl is a Julia stdlib

Color manipulation utilities for Julia

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

Efficient implementation of struct arrays in Julia