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Hey @sebhaan
I'm really impressed with TabPFGen for synthetic tabular data generationl!
We're expanding PriorLabs/tabpfn-extensions to showcase complementary tools for TabPFN, and TabPFGen seems like an excellent fit. It would offer users a clear path to generating synthetic data for their models.
We'd like to invite you to contribute TabPFGen to our extensions, TabPFGen would remain its own pip-installable package; this is about creating a showcase in tabpfn-extensions to boost visibility and demonstrate its use with TabPFN.
The idea is a PR to PriorLabs/tabpfn-extensions, similar to the SHAPiq integration PR.
Specifically, this would involve:
- Adding TabPFGen as a project dependency in the tabpfn-extensions config (so pip install tabpfngen works as usual).
- Creating a dedicated folder (e.g., extensions/TabPFGen_Showcase/) with:
- A simple guide on using TabPFGen, especially with TabPFN.
- A practical example (e.g., a script generating data for TabPFN).
- Including a reference to your work / paper for citation.
Thanks for your great work!
Best
Noah
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