Julia bindings for the Enzyme automatic differentiator

Update immutable data

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

Simple, consistent interfaces for any codec.

Root finding functions for Julia

Primitives for construction of objects

HDF5-compatible file format in pure 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.

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

Julia implementation of Data structures

Julia macro for re-exporting one module from another

Julia wrapper for the LLVM C API

Formatted output of timed sections in Julia

Mathematical functions related to statistics.

Abstract types and interfaces for Markov chain Monte Carlo methods

Abstract julia interfaces for working with trees

Basic statistics for Julia

A common solve function for scientific machine learning (SciML) and beyond

Repository for automatic differentiation backend types

The Julia compiler frontend

Reusable compiler infrastructure for Julia GPU backends.

Immutables as mutables, mutables as immutables.

Reduce time-to-first-execution of Julia code

Tools for writing functions that handle many kinds of IO arguments

Archive of functions that emulate R's d-p-q-r functions for probability distributions

A Julia package for probability distributions and associated functions.

An optimized graphs package for the Julia programming language

A Julia package for calculating hypergeometric functions

A documentation generator for Julia.

Compatibility across Julia versions

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A statistics-focused namespace for packages to share functions

Extensions for Julia's docsystem.

Package for checking function arguments

Implementation of normalising flows and constrained random variable transformations

AD backends for LogDensityProblems.jl.

JSON parsing and printing

Progress meter for long-running computations

Adaptive 1d numerical Gauss–Kronrod integration in Julia

Reusable array functionality for Julia's various GPU backends.