amake

'''
Created on Dec 19, 2013

A script to convert TMXs into parallel corpuses for machine
translation (e.g. Moses: http://www.statmt.org/moses/) training.

Pass in either paths to TMX files, or directories containing TMX files.
The script will recursively traverse directories and process all TMXs.

To perform tokenization or to filter the output, use the convert() method

avloss

TensorFlow Serving in 10 minutes!

TensorFlow SERVING is Googles' recommended way to deploy TensorFlow models. Without proper computer engineering background, it can be quite intimidating, even for people who feel comfortable with TensorFlow itself. Few things that I've found particularly hard were:

• Tutorial examples have C++ code (which I don't know)
• Tutorials have Kubernetes, gRPG, Bezel (some of which I saw for the first time)
• It needs to be compiled. That process takes forever!

After all, it worked just fine. Here I present an easiest possible way to deploy your models with TensorFlow Serving. You will have your self-built model running inside TF-Serving by the end of this tutorial. It will be scalable, and you will be able to query it via REST.