Utilities and abstractions for Machine Learning tasks

Uniform Interface for positive definite matrices of various structures

Easy peasy logging to TensorBoard with Julia

Package for checking function arguments

Julia implementation of associative containers that preserve insertion order

Lazy in-place transformations of arrays

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SparseArrays.jl is a Julia stdlib

This is what I wish `Base.@enum` was.

A simple index type that allows for inverted selections

Fixed point types for julia

Basic color definitions and traits

A simple shared suite of common derivative definitions

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

Optimisers.jl defines many standard optimisers and utilities for learning loops.

Missing value support for Julia

A Julia RNG with stable streams

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

Extra sorting algorithms extending Julia's sorting API

Add virtual padding to the edges of an array

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A pooled representation for arrays with few unique elements

A performant, 100% native-julia SHA1, SHA2, and SHA3 implementation

Fixed-width string types for Julia

Fast composable IO streams

Naïve combined subexpression elimination in Julia

Treat colors as if they are n-vectors for the purposes of arithmetic

A package which provides an API for querying differentiation results at multiple orders simultaneously

Primitives for construction of objects

A data-focused namespace for packages to share functions

The implementation of NameResolution.jl for Julia language.

Interface for function inversion in Julia

Julia types for representing images

Efficient transducers for Julia

Create and control multiple Julia processes remotely for distributed computing. Ships as a Julia stdlib.

Canonical default initial values and identity elements for Julia

Lightweight package for sharing tensor-algebra definitions

Tables.jl-friendly mechanisms for constructing, reading, writing, and validating Arrow tables against extensible, versioned, user-specified schemas.

Julia package for lazily viewing a 3D or 4D array as an expanded 2D array in the form of a mosaic of matrix slices

Array types that can use sentinel values of the element type for special values