vecto

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Vecto helps to perform a range of tasks within the framework of vector space models of computational linguistics.

What functionality is included

• creating word embeddings by counting and neural-based methods, including sub-word-level models;
• importing and exporting from a number of popular formats of word embeddings and providing unified access to word vectors;
• perfroming a range of downstream tasks / benchmarks;
• visualising embeddings.

How do I get set up?

• pip3 install vecto for stable version
• pip3 install git+https://github.com/vecto-ai/vecto.git for latest dev version
• Python 3.6 or later is required

📖 Documentation

=================== === Tutorial vecto overview and end-to-end examples. API Reference The detailed reference for vecto API. Contribute_ How to contribute to the vecto project and code base. =================== ===

.. _Tutorial: http://vecto.readthedocs.io/en/docs/tutorial/index.html .. _API Reference: http://vecto.readthedocs.io/en/docs/reference/index.html .. _Contribute: http://vecto.readthedocs.io/en/docs/contribution.html