The Julia Programming Language

Relax! Flux is the ML library that doesn't make you tensor

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equat…

21st century AD

Compile your Julia Package

Automatically update function definitions in a running Julia session

Python and Julia in harmony.

Forward Mode Automatic Differentiation for Julia

Agent-based modeling framework in Julia

A code analyzer for Julia. No need for additional type annotations.

Progress meter for long-running computations

The slow descent into madness

Julia bindings for the Enzyme automatic differentiator

Efficient implementation of struct arrays in Julia

Implementation of a language-level autograd compiler

A differentiable physics engine for robotics

An interface to various automatic differentiation backends in Julia.

Graph Neural Networks in Julia

Create books with 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 p…

Implementation of normalising flows and constrained random variable transformations

Mathematical functions related to statistics.

A solver for nonlinear programming with GPU support

Research package for automatic differentiation of programs containing discrete randomness.

The dispatch doctor prescribes type stability

Beautiful and flexible vizualizations of high dimensional data

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

Automatic differentiation of implicit functions

Differentiating optimization programs w.r.t. program parameters

High-Performance Agent-Based Macroeconomics Made Easy