This Python library helps you with augmenting nlp for your machine learning projects. Visit this introduction to understand Data Augmentation in NLP. Augmenter is the basic element of augmentation while Flow is a pipeline to orchestra multi augmenters together.
Features
- Generate synthetic data for improving model performance without manual effort
- Simple, easy-to-use and lightweight library. Augment data in 3 lines of code
- Plug and play to any machine leanring/ neural network frameworks (e.g. scikit-learn, PyTorch, TensorFlow)
- Documentation available
- Support textual and audio input
- Examples included
Categories
Machine LearningLicense
MIT LicenseFollow nlpaug
Other Useful Business Software
Build Data Resilience - Take the Assessment Today
Is your recovery strategy as strong as you think? Take this quick self-assessment to check your recovery readiness and gain tailored insights. In only 2 minutes, you'll learn where you fall on the recovery readiness scale.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of nlpaug!