MGL

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Analyzed over 4 years ago. based on code collected over 4 years ago.

Project Summary

Common Lisp machine learning library. Implements restricted boltzmann machines (RBM) and deep belief networks, backprop networks, unrolling DBN to backrop network, gradient descent optimization, conjugate gradient optimization.

In a Nutshell, MGL...

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has had 325 commits made by 1 contributors
representing 11,406 lines of code
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is mostly written in Lisp
with a low number of source code comments
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has a well established, mature codebase
maintained by by one developer
with decreasing Y-O-Y commits
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took an estimated 3 years of effort (COCOMO model)
starting with its first commit in April, 2008
ending with its most recent commit over 4 years ago

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These details are provided for information only. No information here is legal advice and should not be used as such.

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This Project has No vulnerabilities Reported Against it

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Code locations have been removed since last analysis

At one point, Open Hub analyzed source code for this project based on code location(s) available at that time. Since then, the code locations have been removed.