semvec/pypi-packages huggingface dataset:
vsmlib 0.1.22
toolbox for various tasks in the area of vector space models of computational linguistic
Keywords: NLP,linguistics,language

VSMlib
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VSMlibs helps to perform a range of tasks within a 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 banch of popular formats of word embeddings and providing unified access to word-vectors
* perfroming a range of downstream tasks / benchmarks on embeddings
* visualising embeddings

How do I get set up?
====================

* ``pip3 install vsmlib`` for stable version
* ``pip3 install git+https://github.com/undertherain/vsmlib.git`` for latest dev version
* Python 3.5 or later is required


�� Documentation
================

=================== ===
`Tutorial`_         vsmlib overview and end-to-end examples.
`API Reference`_    The detailed reference for vsmlib API.
`Contribute`_       How to contribute to the vsmlib project and code base.
=================== ===

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


Who do I talk to?
=================

* Issue tracker is the way to go