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conda-forge.org : nlpaug

This python library helps you with augmenting NLP for your machine learning projects. `Augmenter` is the basic element of augmentation while `Flow` is a pipeline to orchestra multi augmenter together. Nlpaug generates synthetic data for improving model performance without manual effort. It is a simple and easy-to-use and lightweight library where you can augment data in 3 lines of code, and features plug and play to any machine leanring and neural network frameworks (e.g. scikit-learn, PyTorch, TensorFlow). Nlpaug supports textual and audio input as well.

Registry - Source - JSON
purl: pkg:conda/nlpaug
Keywords: adversarial-attacks, adversarial-example, ai, artificial-intelligence, augmentation, data-science, machine-learning, ml, natural-language-processing, nlp
License: MIT
Latest release: almost 2 years ago
First release: almost 3 years ago
Stars: 3,846 on GitHub
Forks: 431 on GitHub
See more repository details: repos.ecosyste.ms
Funding links: https://github.com/sponsors/makcedward
Last synced: 7 days ago

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