A Julia package for probability distributions and associated functions.

Forward Mode Automatic Differentiation for Julia

Julia implementation of Data structures

Progress meter for long-running computations

Statically sized arrays for Julia

Macro(s) for vectorizing loops.

Basic statistics for Julia

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

Efficient transducers for Julia

Iterative algorithms for solving linear systems, eigensystems, and singular value problems

A man has written a package. A package has no name.

Print data in formatted tables.

Forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs

An interface for tables in Julia

Special mathematical functions in Julia

Types and utility functions for summarizing Markov chain Monte Carlo simulations

Performant arrays where each dimension can have a named axis with values

A combinatorics library for Julia

Lazy code loading for Julia

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

Adaptive 1d numerical Gauss–Kronrod integration in Julia

Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms

Mathematical functions related to statistics.

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

Implementation of normalising flows and constrained random variable transformations

Update deeply nested immutable structs.

Neural Network primitives with multiple backends

Automatic differentiation of Distributions using Tracker, Zygote, ForwardDiff and ReverseDiff

Compatibility across Julia versions

A Julia package to provide Python-like formatting support

Abstract julia interfaces for working with trees

Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications

It is like recipes but for AD! (Full functionality is in ChainRules.jl but this a light weight dependency just to define sensitivities for your functions in your packages)

Common functional iterator patterns

Colored and styled strings for terminals.

Base package for defining transformation recipes on user types for Plots.jl

Julia type that implements a drop-in replacement of Array with named dimensions

Julia package for lazily representing matrices filled with a single entry

Julia macro for re-exporting one module from another

Composable Loggers for the Julia Logging StdLib