pymc-devs/pymc-resources
A repository of Jupyter Notebook ports of prominent Bayesian statistics textbooks into PyMC.
Not currently ranked — collecting fresh signals.
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This repository contains educational resources for learning Bayesian statistical modeling using PyMC. It provides PyMC implementations of example code from well-known statistics textbooks including Statistical Rethinking, Bayesian Data Analysis, and Bayesian Cognitive Modeling. Each subdirectory corresponds to a book with notebook-style tutorials ported from other languages like STAN and BUGS into PyMC.
Frequently asked
- What is pymc-devs/pymc-resources?
- A repository of Jupyter Notebook ports of prominent Bayesian statistics textbooks into PyMC.
- Is pymc-resources open source?
- Yes — pymc-devs/pymc-resources is open source, released under the MIT license.
- What language is pymc-resources written in?
- pymc-devs/pymc-resources is primarily written in Jupyter Notebook.
- How popular is pymc-resources?
- pymc-devs/pymc-resources has 2.1k stars on GitHub.
- Where can I find pymc-resources?
- pymc-devs/pymc-resources is on GitHub at https://github.com/pymc-devs/pymc-resources.