PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.

Automatic differentiation in C++; infinite differentiability of conditionals, loops, recursion and all things C++

GradDFT is a JAX-based library enabling the differentiable design and experimentation of exchange-correlation functionals using machine learning techniques.

Fast Differentiable Forest lib with the advantages of both decision trees and neural networks

The PennyLane-Cirq plugin integrates Google's Cirq software library with with PennyLane's quantum machine learning capabilities.

Differentiable Neural Computer in TensorFlow

A simple differentiable 2D physics simulator written in jax and pytorch

Differentiable model selection for quantum theory