varunkumar-dev/TransformersDataAugmentation
Code associated with the "Data Augmentation using Pre-trained Transformer Models" paper
This project helps machine learning practitioners expand small text datasets for training robust NLP models. It takes your existing labeled text examples and generates new, diverse examples, which can then be used to improve the performance of classification or language understanding models. The primary users are researchers and developers working on natural language processing tasks with limited data.
135 stars. No commits in the last 6 months.
Use this if you need to generate more training data for natural language processing tasks when your existing dataset is small.
Not ideal if you're looking for a user-friendly application with a graphical interface, as this requires running scripts and managing dependencies.
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Python
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Last pushed
Jun 12, 2023
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