Metadata-Version: 1.2
Name: eeyore
Version: 0.0.11
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/v0.0.11.tar.gz
Description: ![](https://github.com/papamarkou/eeyore/workflows/eeyore/badge.svg)
        
        MCMC methods for neural networks.
        
        To install eeyore using anaconda, firstly add the required channels by running
        ```
        conda config --add channels pytorch
        conda config --add channels conda-forge
        ```
        and subsequently run
        ```
        conda install -c papamarkou eeyore
        ```
        To install eeyore using anaconda without adding any channels, run
        ```
        conda install -c papamarkou -c pytorch -c conda-forge eeyore
        ```
        
        To install eeyore using pip, run
        ```
        pip install eeyore
        ```
        
Keywords: Bayesian,deep learning,Markov chains,MCMC,Monte Carlo,neural networks
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
