Julia package for representing dual numbers and for performing dual algebra

Algorithmic differentiation with hyper-dual numbers in C++ and Python

Automatic Differentiation Library

Automatic differentiation playground

forward mode automatic differentiation using dual numbers

SoftWare for Intrusive Function's Taylor-series Truncation (swiftt), a Pure Python library implementing the Taylor Differential Algebra

An interactive exploration tool for dynamics in chaotic systems.

A brief (and inaccurate) history of derivatives, with a brief (and incomplete) Python implementation

Hyperelastic formulations using an algorithmic differentiation with hyper-dual numbers in Python.

Simplified Dual number library in order to perform simple dual algebra. Written using C++ for the purpose of learning more about automatic differentiation

Implementation of dual numbers for automatic differentiation of programs

Library for Line Kinematics

Implemented the forward mode of automatic differentiation with the help of dual numbers using Python.

Implementation of automatic differentiation (AD) in forward and backward modes with mathematical explanations

A simple toy implementation of the Dual numbers

Basic implementation of dual numbers in Python.

Toy Automatic Differentiation Library

Simple ML package that computes gradients without backpropagation

Shows that it is possible to implement reverse mode autodiff using a variation on the dual numbers called the codual numbers

F-1 method