fastcam

A toolkit for efficent computation of saliency maps for explainable AI attribution. This tool was developed at Lawrence Livermore National Laboratory.

demo

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45 Stars

6 Forks

45 Watchers

Jupyter Notebook Language

bsd-3-clause License

Cost to Build

$118.7K

Market Value

$198.2K

How is this calculated?

Growth over time

4 data points · 2022-02-01 → 2025-08-01

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What is the LLNL/fastcam GitHub project? Description: "A toolkit for efficent computation of saliency maps for explainable AI attribution. This tool was developed at Lawrence Livermore National Laboratory.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone fastcam

Clone via HTTPS

git clone https://github.com/LLNL/fastcam.git

Clone via SSH

[email protected]:LLNL/fastcam.git

Download ZIP

Download master.zip

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Report bugs or request features on the fastcam issue tracker:

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