Polynomial manipulations in Julia

An interface for tables in Julia

An alternative interface for dictionaries in Julia, for improved productivity and performance

Named dimensions and indexing for julia arrays and other data

Julia bindings to the FFTW library for fast Fourier transforms

Adaptive 1d numerical Gauss–Kronrod integration in Julia

Types and utility functions for summarizing Markov chain Monte Carlo simulations

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

Mathematical functions related to statistics.

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

A combinatorics library for Julia

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

Convenient input and display of LaTeX equation strings for the Julia language

Reduce time-to-first-execution of Julia code

Color manipulation utilities for Julia

Neural Network primitives with multiple backends

Abstract julia interfaces for working with trees

Implementation of normalising flows and constrained random variable transformations

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

Lazy code loading for Julia

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

Colorschemes, colormaps, gradients, and palettes

Julia package for lazily representing matrices filled with a single entry

Kernel density estimators for Julia

Update immutable data

Update deeply nested immutable structs.

Julia macro for re-exporting one module from another

Implementation of domain-specific language (DSL) for dynamic probabilistic programming

Reusable compiler infrastructure for Julia GPU backends.

Simple Traits for Julia

An enhancement to julia piping syntax

Common functional iterator patterns

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

Einstein summation notation in Julia

Colored and styled strings for terminals.

Math with more good bits

Generic numerical linear algebra in Julia

Compatibility across Julia versions

Composable Loggers for the Julia Logging StdLib