Skip to content
#

data-augmentation-techniques

Here are 2 public repositories matching this topic...

Language: All
Filter by language

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

Improve this page

Add a description, image, and links to the data-augmentation-techniques topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the data-augmentation-techniques topic, visit your repo's landing page and select "manage topics."

Learn more