shuvosdouche / RoBO
git clone https://github.com/shuvosdouche/RoBO.git
Python framework for Bayesian optimization of hyperparameters, using Gaussian processes and random forests as surrogate models.
Why you might care
Provides modular Bayesian optimization building blocks for tuning machine learning hyperparameters with reproducible runs. Built on the george GP and pyrfr random forest libraries, so it suits researchers and AutoML practitioners who want to swap surrogates and acquisition strategies. The README excerpt is thin on specifics beyond installation and documentation links.
Star history starts 2026-10-31; the chart appears after the second daily snapshot.
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Blurb generated by claude-haiku-5-5 1d ago. Star deltas marked ~ are extrapolated from partial history.