uncertainties
Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives. (by lmfit)
FastAD
FastAD is a C++ implementation of automatic differentiation both forward and reverse mode. (by JamesYang007)
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| uncertainties | FastAD | |
|---|---|---|
| 1 | 1 | |
| 528 | 91 | |
| 2.5% | - | |
| 6.5 | 2.5 | |
| 8 days ago | 7 months ago | |
| Python | C++ | |
| GNU General Public License v3.0 or later | 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.
uncertainties
Posts with mentions or reviews of uncertainties.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-04-07.
FastAD
Posts with mentions or reviews of FastAD.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-01-22.
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WG21 January 2021 Mailing
What stage is the differentiation proposal in? It seems odd they talked about reverse mode AD but made no mention of memory management for it. They also don't mention anything about FastAD or Stan Math which I think do some pretty innovative things in this space.
What are some alternatives?
When comparing uncertainties and FastAD you can also consider the following projects:
pint - Laravel Pint is an opinionated PHP code style fixer for minimalists.
autodiff - automatic differentiation made easier for C++
papers - ISO/IEC JTC1 SC22 WG21 paper scheduling and management
geodesic_raytracing
TemporalSetInversion - Reference implementation for "Temporal Set Inversion for Animated Implicits" (SIGGRAPH 2023)
giada - Your Hardcore Loop Machine.
filesystem - An implementation of C++17 std::filesystem for C++11 /C++14/C++17/C++20 on Windows, macOS, Linux and FreeBSD.
Mission : Impossible (AutoDiff) - A concise C++17 implementation of automatic differentiation (operator overloading)
papers