A Julia package for probability distributions and associated functions.

Forward Mode Automatic Differentiation for Julia

Statically sized arrays for Julia

Macro(s) for vectorizing loops.

Julia implementation of Data structures

Basic statistics for Julia

HDF5-compatible file format in pure Julia

An optimized graphs package for the Julia programming language

A Julia package for evaluating distances (metrics) between vectors.

Types with default field values, keyword constructors and (un-)pack macros

A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)

Special mathematical functions in Julia

Simple curve fitting in Julia

MacroTools provides a library of tools for working with Julia code and expressions.

Adaptive 1d numerical Gauss–Kronrod integration in Julia

AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any particular AD system.

Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support

The cheapest threads you can find!

Mathematical functions related to statistics.

Main Package for IO, loading all different kind of files

A combinatorics library for Julia

Reduce time-to-first-execution of Julia code

Fortran-like arrays with arbitrary, zero or negative starting indices.

Lazy code loading for Julia

Julia package for lazily representing matrices filled with a single entry

Julia macro for re-exporting one module from another

Simple Traits for Julia

Compatibility across Julia versions

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

Project Preferences Package

Extensions for Julia's docsystem.

Uniform Interface for positive definite matrices of various structures

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

Julia implementation of associative containers that preserve insertion order

A Julia package for manifold learning and nonlinear dimensionality reduction

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SparseArrays.jl is a Julia stdlib

Simple, consistent interfaces for any codec.

`@pack!` and `@unpack` macros

A simple shared suite of common derivative definitions