Feed-forward neural network for python

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Analyzed 11 months ago. based on code collected 11 months ago.

Project Summary

ffnet is a fast and easy-to-use feed-forward neural network training solution for python. Many nice features are implemented: arbitrary network connectivity, automatic data normalization, very efficient training tools, network export to fortran code.

In a Nutshell, Feed-forward neural network for python...

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has had 334 commits made by 1 contributors
representing 8,868 lines of code
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is mostly written in Python
with an average number of source code comments
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has a well established, mature codebase
maintained by nobody
with stable Y-O-Y commits
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took an estimated 2 years of effort (COCOMO model)
starting with its first commit in November, 2006
ending with its most recent commit almost 9 years ago

Quick Reference

Project Links:

Homepage

Code Locations:

https://svn.code.sf.net/p/ffnet/...

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Project Security

Vulnerabilities per Version ( last 10 releases )

There are no reported vulnerabilities

Project Vulnerability Report

Security Confidence Index

Poor security track-record

Favorable security track-record

Vulnerability Exposure Index

Many reported vulnerabilities

Few reported vulnerabilities

About Project Vulnerability Report

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