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

Missing value support for Julia

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

Extra sorting algorithms extending Julia's sorting API

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

Lightweight package to interface with MLJ

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

The implementation of NameResolution.jl for Julia language.

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

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

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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Traits for julia tables

Immutables as mutables, mutables as immutables.

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C-compatible enum for Julia

Traits for julia iterators

Interface for transformation functions in Julia

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Base interface for dispatching on the "scientific" type of data instead of the machine type

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

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