epwalsh/nlp-models

NLP research experiments, built on PyTorch within the AllenNLP framework.

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Emerging

This project offers a robust framework for Natural Language Processing (NLP) researchers and machine learning engineers to conduct and reproduce experiments. It provides pre-implemented models like CopyNet and access to datasets such as NL2Bash and WMT 2015. Users can train and evaluate custom or provided NLP models by defining their experiment configurations and running simple commands.

No commits in the last 6 months.

Use this if you are an NLP researcher or machine learning engineer looking for a well-structured and reproducible environment to develop and test new models or extend existing ones within the AllenNLP framework.

Not ideal if you are an end-user seeking a ready-to-use NLP application without needing to engage in model development or experimental setup.

Natural Language Processing Machine Learning Research Deep Learning Text Data Analysis Experiment Reproducibility
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 12 / 25

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Stars

91

Forks

9

Language

Python

License

MIT

Last pushed

Mar 20, 2024

Commits (30d)

0

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