Metadata-Version: 2.1
Name: eeyore
Version: 0.0.19
Summary: MCMC methods for neural networks
Home-page: https://github.com/papamarkou/eeyore
Author: Theodore Papamarkou
Author-email: theodore.papamarkou@gmail.com
License: MIT
Download-URL: https://github.com/papamarkou/eeyore/archive/v0.0.19.tar.gz
Keywords: Bayesian inference,Bayesian neural networks,convergence diagnostics,Markov chain Monte Carlo,posterior predictive distribution
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.6
Requires-Dist: numpy (>=1.19.2)
Requires-Dist: torch (>=1.9.0)
Requires-Dist: kanga (>=0.0.19)

![](https://github.com/papamarkou/eeyore/workflows/eeyore/badge.svg)

MCMC methods for neural networks.

To install eeyore using pip, run
```
pip install eeyore
```


