Surnamerator is a surname generator. It's a testbed for different network architectures inspired by Andrej Karpathy's zero-to-hero youtube series.

Live demo at the surnamerator huggingface space!

To run existing models run app.ipynb in a jupyter notebook IDE. To train a new GPT model, run lit_surnames.ipynb.

• app.ipynb - example code for the huggingface gradio
• lit_surnames.ipynb - Most up to date training file for the transformer architecture.
• surnamerator.py - Library for network models and utils.
• first_names.txt/surnames.txt - Dataset.
• data/ - Dataset creation.
• prototypes/ - Network architecture prototypes.
• models/ - Saved weights and configs.

Dataset creation for surnames.txt is done in ./data. first_names.txt was downloaded from makemore. Example surname data:

butterly
gawne
mouch
...

The raw data for surnames was found at fivethirtyeight, data.world, and cencus.gov.