index.src.html

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.. title: vecto
.. slug: index
.. date: 2018-06-01 09:39:34 UTC
.. tags:
.. category:
.. link:
.. description: Explore dozens of published embeddings!
.. type: text
.. hidetitle: True
.. author: The Vecto Team
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            <h1>A reproducible research framework for word, character, sentence embeddings
            <sup><a href="./intro.html" style="font-size: small"What is that?</a></sup> and more!</h1>
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                <h2 class="index-feature">Explore</h2>
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            <p  class="text-justify">Get dozens of published embeddings. Experiment with word2vec, GloVe and dozens of other pre-trained and published embeddings with the convenience of Python. Vecto supports all the most popular formats: txt, npy, bin, and hdf5.</p>
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                <h2 class="index-feature">Roll your own</h2>
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            <p class="text-justify">Develop your own embedding models with a growing library of sample implementations and deep learning frameworks accessible from Vecto.</p>
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                <h2 class="index-feature">Test</h2>
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            <p class="text-justify">Experiment with dozens of popular benchmark datasets and sample baseline implementations. Vecto framework is even compatible with multi-lingual experiment designs.</p>
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                <h2 class="index-feature">Track</h2>
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            <p class="text-justify">Vecto helps to you keep track of your experiments. Metadata is assimilated and aggrageted at each step of the piupleine as JSON sniupepts.</p>

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