The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems

A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers

An interface to various automatic differentiation backends in Julia.

A package which provides an API for querying differentiation results at multiple orders simultaneously

A simple shared suite of common derivative definitions

Create and control multiple Julia processes remotely for distributed computing. Ships as a Julia stdlib.

Extensions for Julia's docsystem.

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This is what I wish `Base.@enum` was.

Julia bindings for the Enzyme automatic differentiator

"I started by producing, and the rapping came second to that, because I wanted to fill out the beat." - Awkwafina

Fast and differentiable implementations of matrix exponentials, Krylov exponential matrix-vector multiplications ("expmv"), KIOPS, ExpoKit functions, and more. All your exponential needs in SciML form.

Collective tools for metaprogramming on Julia Expr

Light-weight expression manipulation tools

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Faster closure variable capture

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Julia Package for the FFMPEG builder binaries

Julia package for lazily representing matrices filled with a single entry

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

Fixed point types for julia

A Julia package to provide C and Python-like formatting support

Forward Mode Automatic Differentiation for Julia

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Parameterise all the things

Julia package for Schur decomposition of matrices with generic element types

Reusable array functionality for Julia's various GPU backends.

Reusable compiler infrastructure for Julia GPU backends.

Plotting for Julia based on GR, a framework for visualisation applications

An optimized graphs package for the Julia programming language

The old Base.Grisu module made into a package

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HTTP for Julia

The Hungarian(Kuhn-Munkres) algorithm for Julia

Under some conditions you may need this function

Julia implementation of zlib decompression

Interface for function inversion in Julia

A Julia interface to the Ipopt nonlinear solver

Defines additional irrationals