pymc-resources
skbel
| pymc-resources | skbel | |
|---|---|---|
| 5 | 1 | |
| 1,893 | 20 | |
| 1.2% | - | |
| 3.7 | 2.4 | |
| 4 months ago | 3 months ago | |
| Jupyter Notebook | Python | |
| MIT License | BSD 3-clause "New" or "Revised" License |
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pymc-resources
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Bayesian Analysis with Python
As it happens, there's a PyMC implementation of the 1st and 2nd editions of Statistical Rethinking here:
https://github.com/pymc-devs/pymc-resources
(I think the author of the book discussed above, Osvaldo Martin, is the primary or sole contributor for the Rethinking implementations, in fact -- he had a full implementation in his own repo [here](https://github.com/aloctavodia/Statistical-Rethinking-with-P...) before deprecating it in favor of the above-linked one.)
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Predicting the distribution of a variable rather than a point estimate
That course/book has been translated to Python (using PyMC3 for the modeling, but you could also use the Stan examples and run them from Python using CmdStanPy).
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Statistical Rethinking (2022 Edition)
Prof. McElreath has been adding two new videos every week.
Also, for anyone who prefers to use the pythons for the coding, I recommend the PyMC3 notebooks https://github.com/pymc-devs/resources/tree/master/Rethinkin... There is also a discussion forum related to this repo here https://gitter.im/Statistical-Rethinking-with-Python-and-PyM...
- Statistical rethinking, but with examples in python?
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Stan is a state-of-the-art platform for statistical modeling
The Statistical Rethinking book uses R.
For people wanting Python, Jupyter notebooks with Python code examples are here:
* https://github.com/pymc-devs/resources/tree/master/Rethinkin...
skbel
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Predicting the distribution of a variable rather than a point estimate
For multivariate regression, I'm developing a Python package called SKBEL.
What are some alternatives?
neural-tangents - Fast and Easy Infinite Neural Networks in Python
Stheno.jl - Probabilistic Programming with Gaussian processes in Julia
indaba-pracs-2022 - Notebooks for the Practicals at the Deep Learning Indaba 2022.
PFASimplu - Aplicatie/soft pentru cei care tin contabilitatea in partida simpla (PFA/II, etc)
cookiecutter-pystan
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers - aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
lasio - Python library for reading and writing well data using Log ASCII Standard (LAS) files
GPflow - Gaussian processes in TensorFlow