I made a visual editor for probabilistic graphical models

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I once taught a course on Bayesian models and I wished I'd had a more visually engaging way to show students how graphical models work. It prompts Claude Sonnet 3.5 with the JSON structure of the model to autoproduce valid PyMC code (most of the time).Any feedback is welcome!

As a business in show hn launch, I made a visual editor for probabilistic graphical models is listed here with the public details available about it.

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Website: pgmsforever.com