Solution of Lyapunov, Sylvester and Riccati matrix equations using Julia

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

Fixed point types for julia

Abstract types and interfaces for Markov chain Monte Carlo methods

Basic color definitions and traits

Light-weight expression manipulation tools

Implementation of variational Bayes inference algorithms

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A simple shared suite of common derivative definitions

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

A Julia package for describing domains as continuous sets of elements

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

Missing value support for Julia

A Julia package for calculating hypergeometric functions

Base library providing vectorization-tools (ie, SIMD) that other libraries are built off of.

Fast and simple nonlinear solvers for the SciML common interface. Newton, Broyden, Bisection, Falsi, and more rootfinders on a standard interface.

Richardson extrapolation in Julia

Multivariate polynomials implementation of commutative and non-commutative variables

Scratch spaces for all your persistent mutable data needs

Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms

A Julia package for representing block-banded matrices and banded-block-banded matrices

An implementation of an LRU Cache in Julia

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

Convenient macros for in-place matrix operations in Julia

Faster closure variable capture

A Julia package for describing array layouts and more general fast linear algebra

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.

Flux's ex AD

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Makes Julia's package extensions backwards compatible

Zlib codecs for TranscodingStreams.jl.

Functionality for working efficiently with block diagonal matrices.

Interface for arithmetics on mutable types in Julia

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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