numpyro
Statistical-Rethinking-with-P
| numpyro | Statistical-Rethinking-with-P | |
|---|---|---|
| 2 | 1 | |
| 2,046 | - | |
| 1.1% | - | |
| 8.7 | - | |
| about 7 hours ago | - | |
| Python | ||
| Apache License 2.0 | - |
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numpyro
- Bayesian Analysis with Python
-
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
Statistical-Rethinking-with-P
-
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.)
What are some alternatives?
PyMC - Bayesian Modeling and Probabilistic Programming in Python
cookiecutter-pystan
trax - Trax — Deep Learning with Clear Code and Speed
einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
pyprobml - Python code for "Probabilistic Machine learning" book by Kevin Murphy
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
adaptive-policy-iteration - JAX implementation of Adaptive Approximate Policy Iteration (Hao et al., 2021)
cobaya - Code for Bayesian Analysis
funsor - Functional tensors for probabilistic programming