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

Missing value support for Julia

Extra sorting algorithms extending Julia's sorting API

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

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

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

The implementation of NameResolution.jl for Julia language.

Interface for function inversion in Julia

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

Pretty print that makes sense

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Base API optimized for tuples

A package for your code to understand scoping rules(including mutability of free variables).

A package for reading and writing files with delimited values (Originally a Julia stdlib)

Memory efficient one-hot array encodings

A statistics-focused namespace for packages to share functions

Defines additional irrationals

Interface package for StaticArrays.jl

A simple API for parallel computation on collections

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Immutables as mutables, mutables as immutables.

Traits for julia tables

C-compatible enum for Julia

Traits for julia iterators

Interface for transformation functions in Julia

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Forked Successor to github.com/JuliaFolds/FLoops.jl

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

Fork of https://github.com/JuliaFolds/MicroCollections.jl

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

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