Source-to-Source Debuggable Derivatives in Pure Python
automatic differentiation made easier for C++
DiffSharp: Differentiable Functional Programming
Transparent calculations with uncertainties on the quantities involved (...
Assignment 1: automatic differentiation
Betty: an automatic differentiation library for generalized meta-learnin...
Drop-in autodiff for NumPy.
Autodifferentiation package in Rust.
An experimental deep learning framework for Nim based on a differentiabl...
Minimal deep learning library written from scratch in Python, using NumP...
A probabilistic programming language that combines automatic differentia...
Automatic differentiation + optimization
Solve ODEs fast, with support for PyMC
FastAD is a C++ implementation of automatic differentiation both forward...
A .NET library that provides fast, accurate and automatic differentiatio...