autodiff
Microsoft Automatic Graph Layout
autodiff | Microsoft Automatic Graph Layout | |
---|---|---|
7 | 3 | |
1,536 | 1,321 | |
1.1% | 0.1% | |
7.8 | 4.0 | |
about 1 month ago | about 2 months ago | |
C++ | JavaScript | |
MIT License | GNU General Public License v3.0 or later |
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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.
Microsoft Automatic Graph Layout
- Visual Node Graph with ImGui
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Looking for a family tree(Genealogy) API for C#
From my POV you don't need to try to find a special control for family tree but the idea is to use most common library like this. https://github.com/microsoft/automatic-graph-layout Then add you own logic to control the graph.
- The architecture of a simple C# desktop application
What are some alternatives?
CppAD - A C++ Algorithmic Differentiation Package: Home Page
MathNet - Math.NET Numerics
FastAD - FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.
xaml-math - A collection of .NET libraries for rendering mathematical formulae using the LaTeX typesetting style, for the WPF and Avalonia XAML-based frameworks
UnitConversion - Expansible Unit Conversion Library for .Net Core and .Net Framework
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!
AutoDiff - A .NET library that provides fast, accurate and automatic differentiation (computes derivative / gradient) of mathematical functions.
PythonRobotics - Python sample codes for robotics algorithms.
GeometRi - Simple and lightweight computational geometry library for .Net