Adaptive 1d numerical Gauss–Kronrod integration 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.

Mathematical functions related to statistics.

Utility package for accessing common Machine Learning datasets in Julia

Main Package for IO, loading all different kind of files

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

Julia protobuf implementation

Color manipulation utilities for Julia

Reduce time-to-first-execution of Julia code

Neural Network primitives with multiple backends

Abstract julia interfaces for working with trees

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

Lazy code loading for Julia

BlockArrays for Julia

Colorschemes, colormaps, gradients, and palettes

Julia package for lazily representing matrices filled with a single entry

Update immutable data

Update deeply nested immutable structs.

Julia macro for re-exporting one module from another

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Reusable compiler infrastructure for Julia GPU backends.

Simple Traits for Julia

An enhancement to julia piping syntax

Common functional iterator patterns

Reproducible data setup for reproducible science

Colored and styled strings for terminals.

Compatibility across Julia versions

Composable Loggers for the Julia Logging StdLib

Julia wrapper for the LLVM C API

Project Preferences Package

A Julia package for representing banded matrices

Posix-compliant file name pattern matching

A Julia framework for implementing FFTs

Themes for the Julia plotting package Plots.jl

A Julia package that provides support for reading and writing Numpy .npy and .npz files

A flexible neural net training library inspired by fast.ai

Parameterise all the things

Extensions for Julia's docsystem.

Fast parsing machinery for basic types in Julia