In-memory tabular data in Julia

Koç University deep learning framework.

CUDA programming in Julia.

Statically sized arrays for Julia

Julia implementation of Data structures

Formatted output of timed sections in Julia

HDF5-compatible file format in pure Julia

Print data in formatted tables.

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.

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

Color manipulation utilities for Julia

Neural Network primitives with multiple backends

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

Lazy code loading for Julia

Julia port of the Python autograd package.

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

Julia wrapper for the LLVM C API

Project Preferences Package

A Julia framework for implementing FFTs

Extensions for Julia's docsystem.

Fast parsing machinery for basic types in Julia

Random Number Generators for the Julia Language.

Julia implementation of associative containers that preserve insertion order

Lazy in-place transformations of arrays

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SparseArrays.jl is a Julia stdlib

Simple, consistent interfaces for any codec.

A simple index type that allows for inverted selections

Fixed point types for julia

Basic color definitions and traits