autodiff
automatic differentiation made easier for C++ (by autodiff)
CppRobotics
Header-only C++ library for robotics, control, and path planning algorithms. Work in progress, contributions are welcome! (by giacomo-b)
| autodiff | CppRobotics | |
|---|---|---|
| 7 | 9 | |
| 1,534 | 434 | |
| 1.1% | - | |
| 7.8 | 2.8 | |
| about 1 month ago | 12 days ago | |
| C++ | C++ | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
autodiff
Posts with mentions or reviews of autodiff.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-22.
- 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.
CppRobotics
Posts with mentions or reviews of CppRobotics.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-09-28.
-
Should I rename CppRobotics to Control++?
I even opened an issue about this, so feel free to post your ideas there.
I posted CppRobotics here yesterday, and some of you pointed out that the name is very generic.
Yesterday I posted CppRobotics and a few of you have left some stars (thanks!).
As per the title, my repo CppRobotics has been receiving a few stars and I was thinking of renaming it to Control++ soon, to better convey the idea of what it does (and to play around with the name acronym C++).
- Fast, header-only C++ library for robotics/control algorithms WIP
- CppRobotics: open-source C++ library for robotics and control algorithms!
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I just started working on an open-source library for robotics algorithms, CppRobotics!
First of all I am by no means a C++ expert. I love the language and did quite a bit of studying, but I still have plenty to learn. Since I love robotics and control theory, I thought it would be a good idea to create CppRobotics and implement something that I really believe in.
- CppRobotics: fast, header-only C++ library for robotics and control algorithms. Looking for suggestions/support! Please leave a star if you like the idea and believe this could be useful.
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I am creating a fast, header-only, C++ library for control algorithms
Long story short I love these topics and love coding as well, so I decided to create CppRobotics.
What are some alternatives?
When comparing autodiff and CppRobotics you can also consider the following projects:
CppAD - A C++ Algorithmic Differentiation Package: Home Page
CppRobotics - cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control
FastAD - FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.
navigation2 - ROS 2 Navigation Framework and System
MathNet - Math.NET Numerics
eigen
MKL.NET - A simple cross platform .NET API for Intel MKL
elevation_mapping - Robot-centric elevation mapping for rough terrain navigation
PythonRobotics - Python sample codes for robotics algorithms.
Microsoft Automatic Graph Layout - A set of tools for graph layout and viewing
symforce - Fast symbolic computation, code generation, and nonlinear optimization for robotics
autodiff vs CppAD
CppRobotics vs CppRobotics
autodiff vs FastAD
CppRobotics vs navigation2
autodiff vs MathNet
CppRobotics vs eigen
autodiff vs MKL.NET
CppRobotics vs elevation_mapping
autodiff vs PythonRobotics
CppRobotics vs PythonRobotics
autodiff vs Microsoft Automatic Graph Layout
CppRobotics vs symforce