blackjax
numpyro
| blackjax | numpyro | |
|---|---|---|
| 1 | 2 | |
| 727 | 2,056 | |
| 3.3% | 1.9% | |
| 8.2 | 8.7 | |
| 3 days ago | 7 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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blackjax
-
AutoBNN: Probabilistic Time Series Forecasting
What are the other four frameworks?
> For one, who wants to do stuff in tensorflow anymore let alone tensorflow-probability.
AutoBNN is a JAX library and has nothing to do technically with TF Probability. It was developed by the TF Probability team.
> DL community prefers pytorch and stats community prefers Stan.
It looks like the JAX ecosystem for stats is growing: NumPyro is based on JAX, PyMC has a JAX backend, https://github.com/blackjax-devs/blackjax has effective samplers, there is https://github.com/jax-ml/bayeux, and now AutoBNN.
> This one seems theoretically more interesting than some others but practically less useful.
Are there other factors why you think AutoBNN is not practically useful, apart from being based on the wrong foundation (which was a mistaken belief of yours)?
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
What are some alternatives?
PyMC - Bayesian Modeling and Probabilistic Programming in Python
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
cookiecutter-pystan