Repository Index

Efficiently computes derivatives of NumPy code.

• autograd
• automatic-differentiation
• numpy
• python

A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives

• robotics
• dynamics
• analytical-derivatives
• kinematics

Math.NET Numerics

• math
• numerics
• linear-algebra
• fsharp

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.

• quantum
• machine-learning
• deep-learning
• neural-network

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python, Matlab/Octave, Julia or Javascript

• optimization
• nonlinear
• derivatives
• code-generation

automatic differentiation made easier for C++

• automatic-differentiation
• auto-differentiation
• autodiff
• autodifferentiation

The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control

• optimal-control
• model-predictive-control
• ilqr
• ilqg

Owl - OCaml Scientific Computing @ https://ocaml.xyz

• matrix
• linear-algebra
• ndarray
• statistical-functions

Open-source cross-platform symbolic algebra library for C# and F#. Can be used for both production and research purposes.

• csharp
• algebra
• integration
• latex

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.

• automatic-differentiation
• aad
• algorithmic-differentiation
• autodiff

Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models

• trajectory-optimization
• differential-dynamic-programming
• theano
• dynamics-models

Solve automatic numerical differentiation problems in one or more variables.

A simple cross platform .NET API for Intel MKL

• mkl
• cross-platform
• matrix
• linear-algebra

Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux

• deep-learning
• deep-neural-networks
• gradient-descent
• automatic-differentiation

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

• mathematical-modelling
• automatic-differentiation
• mathematics
• math