makcedward / nlpaug
Data augmentation for NLP
Why this job: works in the areas we cover, but does not say which job it does
What it does
- Generate synthetic data for improving model performance without manual effort
- Simple, easy-to-use and lightweight library. Augment data in a few lines of code
- Plug and play with common machine learning and neural network frameworks
- Support textual, audio, and spectrogram inputs
- Python 3.12-ready V2 baseline with offline-first tests and GitHub Actions coverage
Get started
pip install nlpaug- Maintenance
- Active
- Last commit 26 days ago
- Stars
- 4,665
- +1 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 2.0.7
- Released 26 days ago
- Built with
- Jupyter Notebook
- 54% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 96% closed
- 10 still open
- Pull requests
- 188 merged
- 4 waiting
- Releases
- 32
- 7 in the last year
- No contributing guide
- Security policy (opens in new tab)
- No code of conduct
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More: languages, topics and project record
Languages
- Jupyter Notebook 54%
- Python 46%
- Shell <1%
- Makefile <1%
Topics
- nlp
- augmentation
- machine-learning
- artificial-intelligence
- data-science
- natural-language-processing
- adversarial-attacks
- adversarial-example
- ai
- ml
Project record
- JobOther AI tools
- StatusListed
- Commits858
- Forks471
- Watching35
- Stars in 28 days+2
- CreatedMar 21, 2019
- First seen by usNov 7, 2026
- CheckedNov 8, 2026