Python library: Echo state Networks for NLP
Project description
EsnTorch (v0.0.2)
A library that implements echo state networks (ESNs) for natural language processing (NLP).
EsnTorch is a library designed for the implementation of echo state networks (ESNs) in the context of natural language processing (NLP). More specifically, EsnTorch allows to implement ESNs for text classification tasks. EsnTorch is written in PyTorch.
This library works for Python 3.6 and higher and PyTorch 1.7.1 and higher.
Installation
This library is distributed on PyPi and
can be installed with pip
. The latest release is version 0.0.2
.
(DEPLOY TO PYPI AND UPDATE LINK ONCE AUTHORIZATION OBTAINED)
$ pip install esntorch
The command above will automatically install all the dependencies listed in requirements.txt
.
Please visit the installation page for more details.
Documentation
For more information, please read the full documentation.
More Info
The source code of the library is available on GitHub. It can be cloned via the following command:
$ git clone https://github.com/PlaytikaResearch/EsnTorch.git
You can install the library and the dependencies with one of the following commands:
$ pip install . # install library + dependencies
$ pip install -r requirements.txt # install dependencies
To create the python wheel file pyabtest.whl
for installation with pip
run the following command:
$ python setup.py sdist bdist_wheel
To create the HTML documentation run the following commands:
$ cd docs
$ sphinx-apidoc -o source/ ../esntorch
$ make clean
$ make html
License
Project details
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