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Python toolkit for pluggable algorithms and data structures for multimedia-based machine learning

Project Description

# SMQTK ![Build Status](https://travis-ci.org/Kitware/SMQTK.svg?branch=master)

## Intent Social Multimedia Query ToolKit aims to provide a simple and easy to use API for:

  • Scalable data structure interfaces and implementations, with a focus on those relevant for machine learning.
  • Algorithm interfaces and implementations of machine learning algorithms with a focus on media-based functionality.
  • High-level applications and utilities for working with available algorithms and data structures for specific purposes.

Through these features, users and developers are able to access various machine learning algorithms and techniques to use over different types of data for different high level applications. Examples of high level applications may include being able to search a media corpus for similar content based on a query, or providing a content-based relevancy feedback interface for a web application.

## Documentation

Documentation for SMQTK is maintained at [ReadtheDocs](http://smqtk.readthedocs.org), including [build instructions](http://smqtk.readthedocs.org/en/latest/building.html) and [examples](http://smqtk.readthedocs.org/en/latest/examples/overview.html).

Release History

Release History

This version
History Node

0.7.0

History Node

0.6.3.dev1

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
smqtk-0.7.0-py2-none-any.whl (2.9 MB) Copy SHA256 Checksum SHA256 py2 Wheel Nov 18, 2017
smqtk-0.7.0.tar.gz (2.7 MB) Copy SHA256 Checksum SHA256 Source Nov 18, 2017

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