binary-classification
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temporal-python
Build Temporal applications in Python using the temporalio SDK. Use when creating workflows, activities, workers, clients, signals, queries, updates, child workflows, timers, retry policies, saga/compensation patterns, testing, or any durable execution pattern in Python.
12bayesian-regression
Fit Bayesian regression models with PyMC using the Hogg approach — start simple, diagnose problems, upgrade the likelihood. Use when the user needs regression with proper uncertainty quantification, heteroscedastic errors, outlier robustness, or model comparison. Covers Normal, Student-t, and GLM likelihoods with ArviZ diagnostics and LOO-CV.
5marimo-notebook
Author marimo notebooks with conventions for interactive scatter exploration. Use when creating a new marimo notebook, choosing how to run marimo locally, or wiring up jscatter scatter plots with lasso selection feeding a table below the plot.
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