uncertainties
autodiff
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| uncertainties | autodiff | |
|---|---|---|
| 1 | 7 | |
| 528 | 1,532 | |
| 2.5% | 2.5% | |
| 6.5 | 7.5 | |
| 8 days ago | 22 days ago | |
| Python | C++ | |
| GNU General Public License v3.0 or later | MIT License |
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uncertainties
autodiff
- The Elements of Differentiable Programming
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Astray: A performance-portable geodesic ray tracing library.
I completely agree. Specifying the metric rather than the Christoffel symbols would make it much easier for the users. Something like https://github.com/autodiff/autodiff might just work as the metric tensor is made up of primitives.
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Point-to-Point Distance Constraint: Gradient of Forward Kinematics
Old username :D So far I have been using Eigen for linear algebra and NLOPT for optimization algorithms. I have found "autodiff" that hopefully looks easy to use: https://github.com/autodiff/autodiff
- Autodiff: Simple C++17 library for Automatic Differentiation
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Gradients Without Backpropagation
Forward-mode differentiation is easy to implement in C++ with templates, operator overloading, and dual numbers (https://en.wikipedia.org/wiki/Automatic_differentiation#Auto...). Some libraries such as autodiff (https://github.com/autodiff/autodiff) and CppAD (https://github.com/coin-or/CppAD) use this method.
- Ensmallen: A C++ Library for Efficient Numerical Optimization
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I am creating a fast, header-only, C++ library for control algorithms
I was thinking of adding [autodiff](https://github.com/autodiff/autodiff) in the future, mainly because it works seamlessly with *Eigen*. One big advantage would be that I could use it for AD for NonlinearSystems as well.
What are some alternatives?
pint - Laravel Pint is an opinionated PHP code style fixer for minimalists.
CppAD - A C++ Algorithmic Differentiation Package: Home Page
FastAD - FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.
MathNet - Math.NET Numerics
MKL.NET - A simple cross platform .NET API for Intel MKL
CppRobotics - Header-only C++ library for robotics, control, and path planning algorithms. Work in progress, contributions are welcome!
PythonRobotics - Python sample codes for robotics algorithms.
Microsoft Automatic Graph Layout - A set of tools for graph layout and viewing
allwpilib - Official Repository of WPILibJ and WPILibC
geodesic_raytracing
Rationals - 🔟 Implementation of rational number arithmetic for .NET with arbitrary precision.
Math3D - A .NET Standard 2.0 library for simple and efficient 3D math that is a feature-rich replacement for System.Numerics https://vimaec.github.io/Math3D