dLux

Source-to-Source Debuggable Derivatives in Pure Python

DiffSharp: Differentiable Functional Programming

AutoBound automatically computes upper and lower bounds on functions.

Drop-in autodiff for NumPy.

Autodifferentiation package in Rust.

An experimental deep learning framework for Nim based on a differentiable array programming language

Minimal deep learning library written from scratch in Python, using NumPy/CuPy.

Automatic differentiation + optimization

A .NET library that provides fast, accurate and automatic differentiation (computes derivative / gradient) of mathematical functions.

JAX-DIPS is a differentiable interfacial PDE solver.