NLP Albumentations For Data Augmentation

This repository contains helper functions which can help you generate additional data points depending on your task. These are not production ready (especially the regex ones could use some help)

Feel free to add your own helper functions and raise a pull request

FAQs:

Q- How can I run this?

A - Just open the .ipynb file, click on the "open in colab" button located at the start of the notebook and run all cells (everything else is already handled)

Sources:

• NLP Albumentations by Alex Shonenkov
• Data Augmentation in NLP: Best Practices From a Kaggle Master by neptune.ai