Beer is a toolkit that provide Bayesian machine learning tools for speech technologies.

Beer is currently under construction and many things are subject to change !

Beer is built upon the pytorch and several other third party packages. To make sure that all the dependencies are installed we recommend to create a new anaconda environment with the given environment file:

   $ conda env create -f condaenv.yml

This will create a new environment name beer. Then you need to install pytorch in the beer environment:

   $ source activate beer
   $ conda install -c pytorch pytorch

Note that it is necessary to install pytorch as the last step.

Assuming that you have already created the beer environment, type in a terminal.

  $ source activate beer
  $ python setup.py install

Have a look to the recipe to get started with beer.