nlpaug (conda): 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.
Keywords: adversarial-attacks|adversarial-example|ai|artificial-intelligence|augmentation|data-science|machine-learning|ml|natural-language-processing|nlp