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.

Scratch spaces for all your persistent mutable data needs

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

Static types useful for dispatch and generated functions.

Flux's ex AD

Makes Julia's package extensions backwards compatible

Repository for automatic differentiation backend types

Naïve combined subexpression elimination in Julia

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

Interface for function inversion in Julia

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

Binary I/O methods generated from Julia structure definitions

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Under some conditions you may need this function

Tools for manipulating Julia's lowered code

Interface package for StaticArrays.jl

Defines additional irrationals

Object File (ELF, MachO, COFF/PE, etc...) parser for Julia

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Interface designs for enforcing static computations in array functions with Julia

Traits for julia tables

C-compatible enum for Julia

Traits for julia iterators

Interface for transformation functions in Julia

Fixing the world one invalidator at a time.

Compute `real(dot(x, y))` efficiently.

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Data Transfer Functionalities across Backends for Machine Learning Applications

Implementation of Takahashi''s inverse subset algorithm for sparse matrices

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