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data-augmentation-techniques

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Explore a rich collection of NLP algorithms and documentation. Each entry includes explanations, test cases, and practical examples to help you grasp and apply NLP techniques, whether you're new to the field or looking to deepen your knowledge.

  • Updated Aug 9, 2024
  • Jupyter Notebook

A Python library for advanced and novel data augmentation, combining traditional techniques like cropping and blurring with state-of-the-art generative AI methods such as style transfer, image inpainting, and latent space interpolation. It boosts data diversity for robust machine learning applications.

  • Updated Dec 20, 2024
  • Python

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