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nlpaug
Jupyter Notebook

nlpaug

Data augmentation for NLP

by makcedward · GitHub
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adversarial-attacksadversarial-exampleaiMITJupyter Notebook
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Enhance your text and audio data for machine learning projects by generating synthetic examples easily.

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4 6624 659
2026-07-042026-08-31
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📄 About

Data augmentation for NLP

nlpaug has 4.7k stars on GitHub. It has been forked 473 times. nlpaug is written mainly in Jupyter Notebook. It has been in active development since 2019. nlpaug is available under the MIT license. Its main topics are adversarial-attacks, adversarial-example, ai, artificial-intelligence.

Frequently asked questions

What is nlpaug?

Data augmentation for NLP

Is nlpaug open source?

nlpaug is an open-source project. It is released under the MIT license.

Is nlpaug free?

Yes. nlpaug is free and open source — you can use, modify and self-host it.

What license does nlpaug use?

nlpaug is available under the MIT license.

What language is nlpaug written in?

nlpaug is written mainly in Jupyter Notebook.

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