veles

I Use This!

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Analyzed 1 day ago. based on code collected 1 day ago.

Project Summary

Distributed machine learning platform.
Distributed platform for rapid Deep learning application development

Consists of:
Platform - https://github.com/Samsung/veles
Znicz Plugin - Neural Network engine
Mastodon - Veles Java bridge for Hadoop etc.
SoundFeatureExtraction - audio feature extraction library

Written on Python, uses OpenCL or CUDA, employs Flow-Based Programming, under Apache 2.0.

1 Deploy VELES on Notebook or Cluster with a single command
2 Create the model from >250 optimized units
3 Analyze and serve the dataset on the go using Loaders
4 Train it on PC or High Performance Cluster
Interactively monitor the training process 5 Publish the results 6 Automatically extract the trained model as an application 7 Run it in the cloud

In a Nutshell, veles...

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has had 4,327 commits made by 18 contributors
representing 68,848 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 one developer
with increasing Y-O-Y commits
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took an estimated 17 years of effort (COCOMO model)
starting with its first commit in April, 2013
ending with its most recent commit 5 months ago

Quick Reference

Project Links:

Homepage

Code Locations:

https://github.com/Samsung/veles

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Licenses

Apache License 2.0

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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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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

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