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.