kmkurn/pytorch-crf
A PyTorch package implementing linear-chain conditional random fields for sequence labeling tasks.
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This package provides a PyTorch implementation of linear-chain conditional random fields (CRF), a class of structured prediction models commonly used in sequence labeling tasks such as named entity recognition and part-of-speech tagging. The implementation builds on the AllenNLP CRF module and extends PyTorch’s neural network capabilities with a dedicated CRF layer. It is available as a standalone Python package for integration into PyTorch-based machine learning pipelines.
Frequently asked
- What is kmkurn/pytorch-crf?
- A PyTorch package implementing linear-chain conditional random fields for sequence labeling tasks.
- Is pytorch-crf open source?
- Yes — kmkurn/pytorch-crf is open source, released under the MIT license.
- What language is pytorch-crf written in?
- kmkurn/pytorch-crf is primarily written in Python.
- How popular is pytorch-crf?
- kmkurn/pytorch-crf has 980 stars on GitHub.
- Where can I find pytorch-crf?
- kmkurn/pytorch-crf is on GitHub at https://github.com/kmkurn/pytorch-crf.