In-memory tabular data in Julia

CUDA programming in Julia.

Statically sized arrays for Julia

Julia implementation of Data structures

Formatted output of timed sections in Julia

Print data in formatted tables.

Heterogeneous programming in Julia

Special mathematical functions in Julia

Reusable array functionality for Julia's various GPU backends.

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.

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

Reduce time-to-first-execution of Julia code

Color manipulation utilities for Julia

Lazy code loading for Julia

Julia package for lazily representing matrices filled with a single entry

Julia macro for re-exporting one module from another

Reusable compiler infrastructure for Julia GPU backends.

Colored and styled strings for terminals.

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

A Julia framework for implementing FFTs

Parameterise all the things

Fast parsing machinery for basic types in Julia

Extensions for Julia's docsystem.

Uniform Interface for positive definite matrices of various structures

Random Number Generators for the Julia Language.

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

A simple index type that allows for inverted selections

Fixed point types for julia

Basic color definitions and traits

Light-weight expression manipulation tools

A simple shared suite of common derivative definitions

Julia package for various special functions based on `log` and `exp`.

Optimisers.jl defines many standard optimisers and utilities for learning loops.