numpyro
PyMC
| numpyro | PyMC | |
|---|---|---|
| 2 | 3 | |
| 2,039 | 8,155 | |
| 1.1% | 0.6% | |
| 8.7 | 9.5 | |
| 11 days ago | 8 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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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
- PYMC Release: v5.0.0
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An Astronomer's Introduction to NumPyro
I believe the pymc versions were resolved into developing version 4 of pymc. Development at https://github.com/pymc-devs/pymc
It still depends on theano now evolved and renamed
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What is Probabilistic Programming?
This tutorial explains what is probabilistic programming & provides a review of 5 frameworks (PPLs) using an example taken from Chapter 4 of Statistical Rethinking by Dr. Richard McElreath. Frameworks (PPLs) reviewed are - Stan (https://mc-stan.org/) PyMC3 (https://docs.pymc.io/) Tensorflow Probability (https://www.tensorflow.org/probability) Pyro/NumPyro (https://pyro.ai/) Turing.jl (https://turing.ml/stable/) I also provide the basic review of a great library called arviz (https://arviz-devs.github.io/arviz/), which can be used for all the above-mentioned PPLs to do Exploratory Data Analysis of Bayesian Models. Here is the link to the notebook in which I have implemented the example model using the above Frameworks/PPLs https://colab.research.google.com/drive/1zgR2b0j2waGi1ppnIe1rw7emkbBXtMqF?usp=sharing
What are some alternatives?
trax - Trax — Deep Learning with Clear Code and Speed
statsmodels - Statsmodels: statistical modeling and econometrics in Python
einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Dask - Parallel computing with task scheduling
pyprobml - Python code for "Probabilistic Machine learning" book by Kevin Murphy
stan - Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
BayesianEcosystems_IAP - Notes and code for Bayesian ecosystem modeling IAP course
Numba - NumPy aware dynamic Python compiler using LLVM
Bayeslite - BayesDB on SQLite. A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself.
SymPy - A computer algebra system written in pure Python
datasets - TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
pyro - Deep universal probabilistic programming with Python and PyTorch