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README.md

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# TopicNet
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[![PyPI](https://img.shields.io/pypi/v/topicnet?color=blue)](https://pypi.org/project/topicnet/)
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[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/TopicNet)](https://www.python.org/downloads/release/python-360/)
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[![Build Status](https://travis-ci.com/machine-intelligence-laboratory/TopicNet.svg?branch=master)](https://travis-ci.com/machine-intelligence-laboratory/TopicNet)
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[![codecov](https://codecov.io/gh/machine-intelligence-laboratory/TopicNet/branch/master/graph/badge.svg)](https://codecov.io/gh/machine-intelligence-laboratory/TopicNet)
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[![GitHub pull requests](https://img.shields.io/github/issues-pr-raw/machine-intelligence-laboratory/TopicNet)](https://github.com/machine-intelligence-laboratory/TopicNet/pulls)
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[![GitHub issues](https://img.shields.io/github/issues/machine-intelligence-laboratory/TopicNet)](https://github.com/machine-intelligence-laboratory/TopicNet/issues)
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[![PyPI - License](https://img.shields.io/pypi/l/TopicNet?color=Black)](https://github.com/machine-intelligence-laboratory/TopicNet/blob/master/LICENSE.txt)
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<h1 align="center">TopicNet: A Python NLP Library for Many Human Languages</h2>
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<div align="center">
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<a href="https://pypi.org/project/topicnet">
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<img alt="PyPI Version" src="https://img.shields.io/pypi/v/topicnet?color=blue">
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</a>
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<a href="https://www.python.org/downloads/release/python-360/">
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<img alt="Python Version" src="https://img.shields.io/pypi/pyversions/TopicNet">
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</a>
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<a href="https://travis-ci.com/machine-intelligence-laboratory/TopicNet">
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</a>
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<a href="https://codecov.io/gh/machine-intelligence-laboratory/TopicNet">
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<img alt="Code Coverage" src="https://codecov.io/gh/machine-intelligence-laboratory/TopicNet/branch/master/graph/badge.svg">
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<a href="https://github.com/machine-intelligence-laboratory/TopicNet/blob/master/LICENSE.txt">
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<img alt="License" src="https://img.shields.io/pypi/l/TopicNet?color=Black">
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</a>
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<a href="https://github.com/machine-intelligence-laboratory/TopicNet/commits/master">
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### What is TopicNet?
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[![GitHub contributors](https://img.shields.io/github/contributors/machine-intelligence-laboratory/TopicNet)](https://github.com/machine-intelligence-laboratory/TopicNet/graphs/contributors)
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[![GitHub last commit](https://img.shields.io/github/last-commit/machine-intelligence-laboratory/TopicNet)](https://github.com/machine-intelligence-laboratory/TopicNet/commits/master)
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### How to start?
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Define `TopicModel` from an ARTM model at hand or with help from `model_constructor` module, where you can set models main parameters. Then create an `Experiment`, assigning a root position to this model and path to store your experiment. Further, you can define a set of training stages by the functionality provided by the `cooking_machine.cubes` module.

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