Explicit SIMD vector operations for Julia

Update deeply nested immutable structs.

An interface to various automatic differentiation backends in Julia.

Julia macro for re-exporting one module from another

Core functionality for the MLJ machine learning framework

Julia interface to AWS

Reusable compiler infrastructure for Julia GPU backends.

Simple Traits for Julia

An enhancement to julia piping syntax

Common functional iterator patterns

Colored and styled strings for terminals.

Julia package of loss functions for machine learning.

Compatibility across Julia versions

A high level API for GDAL - Geospatial Data Abstraction Library

Composable Loggers for the Julia Logging StdLib

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

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

A Julia framework for implementing FFTs

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

Themes for the Julia plotting package Plots.jl

XML/HTML handling tools for primates

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NetCDF support for the julia programming language

Line search methods for optimization and root-finding

Fast parsing machinery for basic types in Julia

Extensions for Julia's docsystem.

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

Statistical bootstrapping library for Julia

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

Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine learning (SciML)

Yet Another XArray-like Julia package

Functions generated at runtime without world-age issues or overhead