AtomEmbedded Machine Learning Products

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Analyzed 9 months ago. based on code collected 9 months ago.

Project Summary

Embedded machine learning applications evaluating the speed using various techniques such as spin_locks, barriers and multi-threading. All source code uses Autotools and implements Doxygen comments.

In a Nutshell, AtomEmbedded Machine Learning Products...

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has had 567 commits made by 3 contributors
representing 350,132 lines of code
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is mostly written in C
with an average number of source code comments
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has a young, but established codebase
maintained by nobody
with stable Y-O-Y commits
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took an estimated 93 years of effort (COCOMO model)
starting with its first commit in October, 2014
ending with its most recent commit almost 10 years ago

Quick Reference

Project Links:

Homepage
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Code Locations:

svn://svn.code.sf.net/p/atomprod...

Similar Projects:

Managers:

ron_brash

This Project has No vulnerabilities Reported Against it

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