Functions generated at runtime without world-age issues or overhead

Interval Sets for Julia

Prime numbers in Julia

Random Number Generators for the Julia Language.

An API for dispatching on the "scientific" type of data instead of the machine type

The Arnoldi Method with Krylov-Schur restart, natively in Julia.

A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers

Fast and differentiable implementations of matrix exponentials, Krylov exponential matrix-vector multiplications ("expmv"), KIOPS, ExpoKit functions, and more. All your exponential needs in SciML form.

Beta Machine Learning Toolkit

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.

Basic interface for manifolds in Julia

A general-purpose toolbox for efficient Kronecker-based algebra.

Collective tools for metaprogramming on Julia Expr

Simple, consistent interfaces for any codec.

Cunning tricks though the julia compiler internals

`@pack!` and `@unpack` macros

A simple index type that allows for inverted selections

Solution of Lyapunov, Sylvester and Riccati matrix equations using Julia

Home of the MLJ model registry and tools for model queries and mode code loading

Macros to define and implement interfaces, to ensure they are checked and correct.

Fixed point types for julia

Filesystem path types in julia

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

Basic color definitions and traits

Light-weight expression manipulation tools

🏩🏠🌆🏨🌇🏦

A simple shared suite of common derivative definitions

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

Find peaks (local extrema) of signals

Julia library for optimal formatting of composite data structures

A Julia package for describing domains as continuous sets of elements

Missing value support for Julia

A Julia package for calculating hypergeometric functions

Hyperparameter optimization algorithms for use in the MLJ machine learning framework