A Julia package for defining and working with linear maps, also known as linear transformations or linear operators acting on vectors. The only requirement for a LinearMap is that it can act on a vector (by multiplication) efficiently.

An interface for tables in Julia

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.

Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support

Mathematical functions related to statistics.

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

Abstract julia interfaces for working with trees

Lazy code loading 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.

An interface to various automatic differentiation backends in Julia.

Julia macro for re-exporting one module from another

Core functionality for the MLJ machine learning framework

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Reusable compiler infrastructure for Julia GPU backends.

Simple Traits for Julia

An enhancement to julia piping syntax

Linear Operators for Julia

Colored and styled strings for terminals.

Julia package of loss functions for machine learning.

Wrapping deep learning models from the package Flux.jl for use in the MLJ.jl toolbox

Compatibility across Julia versions

Composable Loggers for the Julia Logging StdLib

Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.

Julia wrapper for the LLVM C API

Project Preferences Package

A Julia framework for implementing FFTs

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

Automatic differentiation of implicit functions

Themes for the Julia plotting package Plots.jl

A package for Counterfactual Explanations and Algorithmic Recourse in Julia.

Parameterise all the things

Line search methods for optimization and root-finding