0
I Use This!
Inactive
Analyzed 2 days ago. based on code collected 3 days ago.

Project Summary

The Crystallizing Substochastic Sequential Machine Extractor, CrySSMEx, is an algorithm for extracting Finite State Machines from Recurrent Neural Networks. Input: sequential data generated from RNNs. Output: (stochastic) FSMs and state space quantizers.

Tags

No tags have been added

In a Nutshell, CrySSMEx...

This Project has No vulnerabilities Reported Against it

Did You Know...

  • ...
    Black Duck offers a free trial so you can discover if there are open source vulnerabilities in your code
  • ...
    learn about Open Hub updates and features on the Open Hub blog
  • ...
    65% of companies leverage OSS to speed application development in 2016
  • ...
    check out hot projects on the Open Hub

Languages

Languages?height=75&width=75
C++
86%
C
11%
2 Other
3%

30 Day Summary

Aug 21 2018 — Sep 20 2018

12 Month Summary

Sep 20 2017 — Sep 20 2018

Ratings

Be the first to rate this project
Click to add your rating
   Spinner
Review this Project!