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vlsa

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Analyzed about 6 hours ago. based on code collected 1 day ago.

Project Summary

A system for identifying latent scene attributes in videos (vlsa) using knowledge acquired from large collections of text documents.

Tags

artificial_intelligence information_extraction information_retrieval latent_attribute mental_state nlp video vlsa

In a Nutshell, vlsa...

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has had 12 commits made by 1 contributors
representing 9,547 lines of code
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is mostly written in Scala
with a very well-commented source code
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has a codebase with a very short history
maintained by nobody
with stable Y-O-Y commits
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took an estimated 3 years of effort (COCOMO model)
starting with its first commit in February, 2014
ending with its most recent commit about 12 years ago

Quick Reference

Code Locations:

https://github.com/trananh/vlsa

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This Project has No vulnerabilities Reported Against it

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Code

Lines of Code

Activity

Commits per Month

Community

Contributors per Month

Languages

Scala	86%
XML	11%
3 Other	3%

30 Day Summary

Aug 22 2026 — Sep 21 2026

0 Commits
0 Contributors

12 Month Summary

Sep 21 2025 — Sep 21 2026

0 Commits
0 Contributors

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