FastAD

JamesYang007

FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.

math

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118 Stars

4 Forks

118 Watchers

C++ Language

mit License

100 SrcLog Score

Cost to Build

$113.7K

Market Value

$176.9K

How is this calculated?

Growth over time

8 data points · 2021-08-01 → 2026-04-01

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What is the JamesYang007/FastAD GitHub project? Description: "FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.". Written in C++. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone FastAD

Clone via HTTPS

git clone https://github.com/JamesYang007/FastAD.git

Clone via SSH

[email protected]:JamesYang007/FastAD.git

Download ZIP

Download master.zip

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