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

Julia wrapper for the LLVM C API

Project Preferences Package

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

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

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

Simple, consistent interfaces for any codec.

`@pack!` and `@unpack` macros

A simple index type that allows for inverted selections

Home of the MLJ model registry and tools for model queries and mode code loading

TAR files: create, list, extract them in pure Julia

Fixed point types for julia

Filesystem path types in julia

Basic color definitions and traits

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

Julia library for optimal formatting of composite data structures

Missing value support for Julia

A Julia package for calculating hypergeometric functions

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

Richardson extrapolation in Julia

Scratch spaces for all your persistent mutable data needs

A Julia RNG with stable streams

Expectation operators for Distributions.jl objects

Julia math built-ins which return NaN and accumulator functions which ignore NaN