adaptive-policy-iteration
numpyro
| adaptive-policy-iteration | numpyro | |
|---|---|---|
| 2 | 2 | |
| 5 | 2,046 | |
| - | 1.5% | |
| 2.6 | 8.7 | |
| almost 3 years ago | 3 days ago | |
| Python | Python | |
| GNU General Public License v3.0 only | Apache License 2.0 |
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adaptive-policy-iteration
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?
HJxB - Continuous-Time/State/Action Fitted Value Iteration via Hamilton-Jacobi-Bellman (HJB)
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
cobaya - Code for Bayesian Analysis
funsor - Functional tensors for probabilistic programming
cookiecutter-pystan