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.

Julia package of loss functions for machine learning.

Compatibility across Julia versions

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

Multivariate polynomials interface

An abstract interface for automatic differentiation.

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

A Julia framework for implementing FFTs

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

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

Line search methods for optimization and root-finding

Extensions for Julia's docsystem.

Fast parsing machinery for basic types in Julia

Mike's Little Intermediate Representation

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

Utilities and abstractions for Machine Learning tasks

Uniform Interface for positive definite matrices of various structures

-

Package for checking function arguments

Functions generated at runtime without world-age issues or overhead

Prime numbers in Julia

Interval Sets for Julia

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