Reusable compiler infrastructure for Julia GPU backends.

Simple Traits for Julia

An enhancement to julia piping syntax

Automatic differentiation of Distributions using Tracker, Zygote, ForwardDiff and ReverseDiff

Colored and styled strings for terminals.

Julia package of loss functions for machine learning.

Compatibility across Julia versions

Wrapping deep learning models from the package Flux.jl for use in the MLJ.jl toolbox

Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)

Composable Loggers for the Julia Logging StdLib

The dispatch doctor prescribes type stability

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

The Base interface of the SciML ecosystem

Julia wrapper for the LLVM C API

Project Preferences Package

A Julia package for representing banded matrices

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

A Julia framework for implementing FFTs

Themes for the Julia plotting package Plots.jl

Parameterise all the things

Line search methods for optimization and root-finding

Extensions for Julia's docsystem.

Fast parsing machinery for basic types in Julia

Tools for building non-allocating pre-cached functions in Julia, allowing for GC-free usage of automatic differentiation in complex codes

Mike's Little Intermediate Representation

Utilities and abstractions for Machine Learning tasks

Uniform Interface for positive definite matrices of various structures

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Package for checking function arguments

Functions generated at runtime without world-age issues or overhead

Random Number Generators for the Julia Language.

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

An API for dispatching on the "scientific" type of data instead of the machine type

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

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.

Julia implementation of associative containers that preserve insertion order

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Julia-based implementation of ellipsis array indexing notation `..`

SparseArrays.jl is a Julia stdlib