Interface designs for enforcing static computations in array functions with Julia

Statically sized arrays for Julia

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

Julia package for lazily representing matrices filled with a single entry

Extensions for Julia's docsystem.

Compatibility across Julia versions

Add virtual padding to the edges of an array

Reduce time-to-first-execution of Julia code

Physical quantities with arbitrary units

Fixed point types for julia

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

Julia bindings to the FFTW library for fast Fourier transforms

Julia macro for re-exporting one module from another

Julia implementation of Data structures

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.

Primitives for construction of objects

Root finding functions for Julia

Update immutable data