Research & Science · PyMC

Builds, fits, checks and compares Bayesian models in PyMC, from priors and NUTS sampling to variational inference, LOO and WAIC comparison, and diagnostics.

davila7/claude-code-templates

Builds and checks Bayesian models with PyMC, including hierarchical models, NUTS MCMC, variational inference, mutable-data predictions, posterior predictive checks, diagnostics, and PSIS-LOO model…

K-Dense-AI/scientific-agent-skills

This skill covers Bayesian estimation and inference in quantitative social science.

brycewang-stanford/Auto-Empirical-Research-Skills

Production-grade Bayesian causal inference with PyMC, CausalPy, and DoWhy.

brycewang-stanford/Auto-Empirical-Research-Skills