Neural Network primitives with multiple backends

Abstract julia interfaces for working with trees

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

Lazy code loading for Julia

Fortran-like arrays with arbitrary, zero or negative starting indices.

BlockArrays for Julia

Colorschemes, colormaps, gradients, and palettes

Julia package for lazily representing matrices filled with a single entry

Kernel density estimators for Julia

Update immutable data

Update deeply nested immutable structs.

An interface to various automatic differentiation backends in Julia.

Julia macro for re-exporting one module from another

Reusable compiler infrastructure for Julia GPU backends.

Simple Traits for Julia

Pure-Julia multidimensional h-adaptive integration

An enhancement to julia piping syntax

Common functional iterator patterns

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

Einstein summation notation in Julia

Colored and styled strings for terminals.

Compatibility across Julia versions

Composable Loggers for the Julia Logging StdLib

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)

The dispatch doctor prescribes type stability

Multivariate polynomials interface

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

Efficient and type-stable physical quantities in Julia

Julia wrapper for the LLVM C API

The Base interface of the SciML ecosystem

Project Preferences Package

A Julia package for representing banded matrices

Posix-compliant file name pattern matching

One- and multi-dimensional adaptive integration routines for the Julia language

A Julia framework for implementing FFTs

For working with dimensions of arrays by name

Themes for the Julia plotting package Plots.jl

Arrays which also have a label for each element for easy scientific machine learning (SciML)

Parameterise all the things

A Julia implementation of quaternions