pytorch-crf
pytorch-crf copied to clipboard
(Linear-chain) Conditional random field in PyTorch.
pytorch-crf
Conditional random field in PyTorch <http://pytorch.org/>
_.
.. image:: https://img.shields.io/pypi/pyversions/pytorch-crf.svg?style=flat :target: https://img.shields.io/pypi/pyversions/pytorch-crf.svg?style=flat :alt: Python versions
.. image:: https://img.shields.io/pypi/v/pytorch-crf.svg?style=flat :target: https://pypi.org/project/pytorch-crf :alt: PyPI project
.. image:: https://github.com/kmkurn/pytorch-crf/actions/workflows/run_tests.yml/badge.svg :target: https://github.com/kmkurn/pytorch-crf/actions/workflows/run_tests.yml :alt: Build status
.. image:: https://img.shields.io/readthedocs/pytorch-crf.svg?style=flat :target: https://pytorch-crf.readthedocs.io :alt: Documentation status
.. image:: https://img.shields.io/coveralls/github/kmkurn/pytorch-crf.svg?style=flat :target: https://coveralls.io/github/kmkurn/pytorch-crf :alt: Code coverage
.. image:: https://img.shields.io/pypi/l/pytorch-crf.svg?style=flat :target: https://choosealicense.com/licenses/mit/ :alt: License
.. image:: https://cdn.rawgit.com/syl20bnr/spacemacs/442d025779da2f62fc86c2082703697714db6514/assets/spacemacs-badge.svg :target: http://spacemacs.org :alt: Built with Spacemacs
This package provides an implementation of linear-chain conditional random field <https://en.wikipedia.org/wiki/Conditional_random_field>
_ (CRF) in PyTorch.
This implementation borrows mostly from AllenNLP CRF module <https://github.com/allenai/allennlp/blob/master/allennlp/modules/conditional_ra ndom_field.py>
_ with some modifications.
Documentation
https://pytorch-crf.readthedocs.io/
License
MIT
Contributing
Contributions are welcome! Please follow these instructions to install dependencies and running the tests and linter.
Installing dependencies
Make sure you setup a virtual environment with Python. Then, install all
the dependencies in requirements.txt
file and install this package in
development mode.
::
pip install -r requirements.txt
pip install -e .
Setup pre-commit hook
Simply run::
ln -s ../../pre-commit.sh .git/hooks/pre-commit
Running tests
Run pytest
in the project root directory.
Running linter
Run flake8
in the project root directory. This will also run mypy
,
thanks to flake8-mypy
package.