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Analyzed about 8 hours 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

Tags

cloud cluster cuda deployment distributed gpu hadoop hpc neural_networks opencl production python visualization

In a Nutshell, veles...

Apache License 2.0
Permitted

Commercial Use

Modify

Distribute

Place Warranty

Sub-License

Private Use

Use Patent Claims

Forbidden

Hold Liable

Use Trademarks

Required

Include Copyright

State Changes

Include License

Include Notice

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

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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About Project Security

Languages

Python
49%
C++
34%
11 Other
17%

30 Day Summary

Sep 5 2026 — Oct 5 2026

12 Month Summary

Oct 5 2025 — Oct 5 2026