pyexlab extension using torch for machine learning

Author: Blake Wilson

Running machine learning experiments can be a huge hassle. Optimizing hyper parameters, saving off specific data throughout epochs, and modifying models without breaking code are just a few of the headaches I come across on a daily basis. pyexml simplifies the design process for machine learning experimentation by building on top of the pyexlab package.

This project is still in very early development!

There are two ways to setup PyExML. Either, clone this repo and add the path to your virtual environment path. Or, you can install using PyPi.

##Using PyExML pyexml is an extension of pyexlab, and so both will need to be installed.

import pyexlab as pylab
import pyexml as pyml

Models in pyexml are constructed the same way they are in torch. Simply specify the