Julia package for kernel functions for machine learning

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.

Specifying, fitting, and evaluating statistical models in Julia

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

Performant arrays where each dimension can have a named axis with values

Abstract julia interfaces for working with trees

Lazy code loading for Julia

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

Colorschemes, colormaps, gradients, and palettes

Julia package for lazily representing matrices filled with a single entry

A fresh approach to coordinate transformations...

Julia implementations for different rotation parameterizations

Update immutable data

Conda managing Julia binary dependencies

Explicit SIMD vector operations for Julia

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

Common functional iterator patterns

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

Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations

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)

Themes for the Julia plotting package Plots.jl

A package for Counterfactual Explanations and Algorithmic Recourse in Julia.

Parameterise all the things

A Julia implementation of quaternions

Fast parsing machinery for basic types in Julia