Multivariate polynomials implementation of commutative and non-commutative variables

Delay differential equation (DDE) solvers in Julia for the SciML scientific machine learning ecosystem. Covers neutral and retarded delay differential equations, and differential-algebraic equations.

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

Faster closure variable capture

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

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

Convenient macros for in-place matrix operations in Julia

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

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

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

Bijection datatype for Julia.

Lightweight robust covariance estimation in Julia

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

Boundary value problem (BVP) solvers for scientific machine learning (SciML)

Wrapper around mbedtls

Logging sinks and utilites for interactive terminals

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

Truncated singular value decomposition with partial reorthogonalization

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Positive-definite "approximations" to matrices

Repository for automatic differentiation backend types

Lightweight package to interface with MLJ

Direct solution of large sparse systems of linear algebraic equations in pure Julia

Edge-weighted graphs compatible with Graphs.jl

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

Naïve combined subexpression elimination in Julia

Common interface for symbolic terms, allowing symbolic libraries with different underlying structures to interact and convert

Julia wrapper for L-BFGS-B Nonlinear Optimization Code