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

Colorschemes, colormaps, gradients, and palettes

Julia package for lazily representing matrices filled with a single entry

Kernel density estimators for Julia

Update immutable data

Take Julia code coverage and memory allocation results, do useful things with them

Update deeply nested immutable structs.

Julia macro for re-exporting one module from another

Core functionality for the MLJ machine learning framework

Simple Traits for Julia

An enhancement to julia piping syntax

Colored and styled strings for terminals.

Julia package of loss functions for machine learning.

Compatibility across Julia versions

Composable Loggers for the Julia Logging StdLib

Easy benchmark tracking for packages

Julia wrapper for the LLVM C API

Project Preferences Package

Parse yer YAMLs

Posix-compliant file name pattern matching

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

A Julia framework for implementing FFTs

Themes for the Julia plotting package Plots.jl

Extensions for Julia's docsystem.

Fast parsing machinery for basic types in Julia

Utilities and abstractions for Machine Learning tasks

Observable refs

Uniform Interface for positive definite matrices of various structures

Package for checking function arguments

An API for dispatching on the "scientific" type of data instead of the machine type

Julia implementation of associative containers that preserve insertion order

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SparseArrays.jl is a Julia stdlib

A flexible logging library for Julia

Simple, consistent interfaces for any codec.

`@pack!` and `@unpack` macros