makcedward/nlpaug

Health v2 · maintenance only

Adoption not part of the score

4664 stars · 471 forks observed · 2026-10-21

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

nlpaug is a Python library for augmenting textual, audio, and spectrogram data to improve machine learning model performance. It provides Augmenter components and a Flow pipeline for composing multiple augmentation techniques.

Use cases

• augment text data for training NLP models
• generate synthetic training examples when labeled data is scarce
• augment audio and spectrogram data for speech models
• create adversarial examples to test model robustness
• build augmentation pipelines for deep learning workflows

When to choose

• you need lightweight, plug-and-play data augmentation for NLP or audio in Python
• you want to boost model performance without manually collecting more labeled data
• you need multilingual text augmentation or adversarial example generation

When to avoid

• you need image or general computer-vision augmentation
• you require a non-Python environment
• you need production-scale distributed data generation rather than in-process augmentation

Facets

library · maturity active

machine-learning nlp audio-processing data-generation machine-learning data-science python cross-platform data-augmentation adversarial-examples text-augmentation spectrogram deep-learning natural-language-processing audio

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markdown · JSON · MCP: product_card(name="makcedward/nlpaug")