Package-specific AbstractUnitRange types for julia

Primitives for construction of objects

Julia package for selecting hardware, libraries, and algorithms for a computation

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Compatibility across Julia versions

Fixing the world one invalidator at a time.

A common solve function for scientific machine learning (SciML) and beyond

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

Basic color definitions and traits

Color manipulation utilities for Julia

Interface for transformation functions 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.

Julia package for indices-aware array concatenation and growth

Efficient filtering and linear algebra routines for multidimensional arrays

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

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Update immutable data

A Julia framework for implementing FFTs