A Julia package for calculating hypergeometric functions

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

Transformations to contrained variables from ℝⁿ.

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

A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)

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.

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

Convenient macros for in-place matrix operations in Julia

Faster closure variable capture

Extra sorting algorithms extending Julia's sorting API

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

Static types useful for dispatch and generated functions.

Flux's ex AD

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Zlib codecs for TranscodingStreams.jl.

Makes Julia's package extensions backwards compatible

Interface for arithmetics on mutable types in Julia

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A pooled representation for arrays with few unique elements

Julia implementation for the BFloat16 number type

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

Fixed-width string types for Julia

Common table operations on Tables.jl interface implementations

Bijection datatype for Julia.

Calculating contour curves for 2D scalar fields in Julia

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

Lightweight robust covariance estimation in Julia

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

Wrapper around mbedtls

Logging sinks and utilites for interactive terminals

Truncated singular value decomposition with partial reorthogonalization

A common framework for implementing and using log densities for inference.

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Positive-definite "approximations" to matrices

Type stable methods for small tuples