I am a fan of the book Statistical Rethinking, so I port the codes of its second edition to NumPyro. I hope that the book and this translation will be helpful not only for NumPyro/Pyro users but also for ones who are willing to do Bayesian statistics in Python.
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Read on the site: https://fehiepsi.github.io/rethinking-numpyro/
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Use GitHub's renderer: https://github.com/fehiepsi/rethinking-numpyro/tree/master/notebooks/
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Use Jupyter's nbviewer: https://nbviewer.jupyter.org/github/fehiepsi/rethinking-numpyro/tree/master/notebooks/
The following tools are used for some analysis and visualizations: arviz for posteriors, causalgraphicalmodels and daft for causal graphs, and (optional) ete3 for phylogenetic trees.
pip install numpyro arviz causalgraphicalmodels daftIf you need help solving the exercises with numpyro, there are resolutions from chapter 2 and 3 here.
Kapil Sachdeva and Manuel A. Vázquez has helped fix many code and plot mismatches since the release. Many thanks!