PrithivirajDamodaran/Styleformer
A neural language style transfer framework that converts text between styles such as formal/casual and active/passive.
Not currently ranked — collecting fresh signals.
star history
Styleformer is a neural network-based framework that performs controlled text style transfer between fine-grained linguistic styles. It uses deep learning models to transform text along dimensions like formality level (formal ↔ casual) and voice (active ↔ passive). The framework provides use cases including data augmentation, post-processing machine-generated text, controlled paraphrasing, and assisted writing applications.
Frequently asked
- What is PrithivirajDamodaran/Styleformer?
- A neural language style transfer framework that converts text between styles such as formal/casual and active/passive.
- Is Styleformer open source?
- Yes — PrithivirajDamodaran/Styleformer is open source, released under the Apache-2.0 license.
- What language is Styleformer written in?
- PrithivirajDamodaran/Styleformer is primarily written in Python.
- How popular is Styleformer?
- PrithivirajDamodaran/Styleformer has 494 stars on GitHub.
- Where can I find Styleformer?
- PrithivirajDamodaran/Styleformer is on GitHub at https://github.com/PrithivirajDamodaran/Styleformer.