numpyro
pymc-resources
numpyro | pymc-resources | |
---|---|---|
2 | 5 | |
2,039 | 1,882 | |
1.1% | 0.6% | |
8.7 | 3.7 | |
11 days ago | 4 months ago | |
Python | Jupyter Notebook | |
Apache License 2.0 | MIT License |
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numpyro
- Bayesian Analysis with Python
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Saving the World with Bayesian Modeling
Perhaps an alternative to look into: Numpyro [1] has a JAX backend so can be really fast when compiled; and it can run on GPUs. So that might be helpful for your problem with loads of data.
[1] https://github.com/pyro-ppl/numpyro
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...
What are some alternatives?
PyMC - Bayesian Modeling and Probabilistic Programming in Python
neural-tangents - Fast and Easy Infinite Neural Networks in Python
trax - Trax — Deep Learning with Clear Code and Speed
indaba-pracs-2022 - Notebooks for the Practicals at the Deep Learning Indaba 2022.
einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
skbel - SKBEL - Bayesian Evidential Learning framework built on top of scikit-learn.
pyprobml - Python code for "Probabilistic Machine learning" book by Kevin Murphy
cookiecutter-pystan
BayesianEcosystems_IAP - Notes and code for Bayesian ecosystem modeling IAP course
Bayeslite - BayesDB on SQLite. A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself.
datasets - TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
MultiBUGS - Multi-core BUGS for fast Bayesian inference of large hierarchical models