pytorch-crf

by kmkurn

kmkurn / pytorch-crf

(Linear-chain) Conditional random field in PyTorch.

550 Stars 93 Forks Last release: almost 2 years ago (v0.6.0) MIT License 118 Commits 14 Releases

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pytorch-crf

Conditional random field in

PyTorch 
_.

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This package provides an implementation of linear-chain

conditional random field
_ (CRF) in PyTorch. This implementation borrows mostly from
AllenNLP CRF module
_ 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.

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