Extensions for Julia's docsystem.

Tools for building non-allocating pre-cached functions in Julia, allowing for GC-free usage of automatic differentiation in complex codes

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Functions generated at runtime without world-age issues or overhead

Julia implementation of associative containers that preserve insertion order

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SparseArrays.jl is a Julia stdlib

This is what I wish `Base.@enum` was.

Cunning tricks though the julia compiler internals

Collective tools for metaprogramming on Julia Expr

Simple, consistent interfaces for any codec.

`@pack!` and `@unpack` macros

Fixed point types for julia

TAR files: create, list, extract them in pure Julia

Light-weight expression manipulation tools

Basic color definitions and traits

🏩🏠🌆🏨🌇🏦

A simple shared suite of common derivative definitions

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Julia package for various special functions based on `log` and `exp`.

Missing value support for Julia

Scratch spaces for all your persistent mutable data needs

Faster closure variable capture

Ask the CPU for cache sizes, SIMD feature support, a running hypervisor, and more.

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

Extra sorting algorithms extending Julia's sorting API

Static types useful for dispatch and generated functions.

Zlib codecs for TranscodingStreams.jl.

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

This package contains a macro for converting expressions to use muladd calls and fused-multiply-add (FMA) operations for high-performance in the SciML scientific machine learning ecosystem

Calculating contour curves for 2D scalar fields in Julia

SciMLOperators.jl: Matrix-Free Operators for the SciML Scientific Machine Learning Common Interface in Julia

Wrapper around mbedtls

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Repository for automatic differentiation backend types

A Julia package to provide C and Python-like formatting support

Naïve combined subexpression elimination in Julia

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

A package which provides an API for querying differentiation results at multiple orders simultaneously