Top 5 autodifferentiation Open-Source Projects
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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.
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Project mention: [D] To what extent can Rust be used for Machine Learning? | reddit.com/r/MachineLearning | 2022-04-14
Check where and how this struct is used. https://github.com/neuronika/neuronika/blob/variable-rework/neuronika-variable/src/history.rs
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SonarLint
Deliver Cleaner and Safer Code - Right in Your IDE of Choice!. SonarLint is a free and open source IDE extension that identifies and catches bugs and vulnerabilities as you code, directly in the IDE. Install from your favorite IDE marketplace today.
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uncertainties
Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.
Project mention: Wind Turbine Blades Can’t Be Recycled, So They’re Piling Up in Landfills (2020) | news.ycombinator.com | 2022-04-07 -
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autodifferentiation related posts
Index
What are some of the best open-source autodifferentiation projects? This list will help you:
Project | Stars | |
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1 | autodiff | 1,010 |
2 | neuronika | 712 |
3 | uncertainties | 406 |
4 | MyGrad | 138 |
5 | FastAD | 48 |
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