In-memory tabular data in Julia

Forward Mode Automatic Differentiation for Julia

Statically sized arrays for Julia

Macro(s) for vectorizing loops.

Julia implementation of Data structures

Basic statistics for Julia

HDF5-compatible file format in pure Julia

A Julia package for evaluating distances (metrics) between vectors.

Types with default field values, keyword constructors and (un-)pack macros

Print data in formatted tables.

Julia functional programming infrastructures and metaprogramming facilities

Heterogeneous programming in Julia

Special mathematical functions in Julia

Reusable array functionality for Julia's various GPU backends.

MacroTools provides a library of tools for working with Julia code and expressions.

An interface for tables in Julia

AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any particular AD system.

The cheapest threads you can find!

Main Package for IO, loading all different kind of files

Convenient input and display of LaTeX equation strings for the Julia language

Reduce time-to-first-execution of Julia code

Neural Network primitives with multiple backends

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

Lazy code loading for Julia

Update immutable data

Update deeply nested immutable structs.

Julia macro for re-exporting one module from another

Simple Traits for Julia

Colored and styled strings for terminals.

Julia package of loss functions for machine learning.

Compatibility across Julia versions

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

Julia wrapper for the LLVM C API

Project Preferences Package

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

Extensions for Julia's docsystem.

Fast parsing machinery for basic types in Julia

Utilities and abstractions for Machine Learning tasks

Utility package for generating, loading, splitting, and processing Machine Learning datasets

Package for checking function arguments