Reduce time-to-first-execution of Julia code

Mathematical functions related to statistics.

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.

Adaptive 1d numerical Gauss–Kronrod integration in Julia

Julia bindings to the FFTW library for fast Fourier transforms

Krylov methods for linear problems, eigenvalues, singular values and matrix functions

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

Reusable array functionality for Julia's various GPU backends.

Special mathematical functions in Julia

An optimized graphs package for the Julia programming language

Basic statistics for Julia

Julia implementation of Data structures

Statically sized arrays for Julia

A Julia package for probability distributions and associated functions.