Efficiently computes derivatives of NumPy code.
- autograd
- automatic-differentiation
- numpy
- python
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Efficiently computes derivatives of NumPy code.
A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
automatic differentiation made easier for C++
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
Owl - OCaml Scientific Computing @ https://ocaml.xyz
The fastest automatic differentiation library for C++, with Python bindings. Forward, adjoint and higher-order derivatives, checkpointing, Eigen support and JIT. Reproducible benchmarks against CppAD, Adept and autodiff.
Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
A .NET library that provides fast, accurate and automatic differentiation (computes derivative / gradient) of mathematical functions.