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

Julia wrapper for the LLVM C API

Project Preferences Package

A Julia framework for implementing FFTs

Automatic differentiation of implicit functions

Parameterise all the things

Line search methods for optimization and root-finding

Extensions for Julia's docsystem.

Fast parsing machinery for basic types in Julia

Mike's Little Intermediate Representation

Utilities and abstractions for Machine Learning tasks

Uniform Interface for positive definite matrices of various structures

Package for checking function arguments

Julia implementation of associative containers that preserve insertion order

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SparseArrays.jl is a Julia stdlib

Simple, consistent interfaces for any codec.

`@pack!` and `@unpack` macros

Light-weight expression manipulation tools

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.

Missing value support for Julia

Scratch spaces for all your persistent mutable data needs

Faster closure variable capture

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.

Makes Julia's package extensions backwards compatible

Zlib codecs for TranscodingStreams.jl.

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Interface for arithmetics on mutable types in Julia

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

A Julia interface to the ECOS conic optimization solver

Positive-definite "approximations" to matrices

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

Factorization of Symmetric Matrices

Primitives for construction of objects