Remove experiements and notebooks

Split python2 into separate Dockerfile to speed up build (docker hub …

dockerize take 2

This is an attempt to have a single docker image that can be used as a base for cloud runs (with mhcflurry-cloud) and also eventually as a way for users to experiment with mhcflurry. Plan is to have this built automatically at https://hub.docker.com/r/hammerlab/mhcflurry/

 * supports cpu and theoretically gpu (not tested though)
 * supports python 2 and 3
 * putting Dockerfile in the root of our repo lets us just copy the current checkout of the mhcflurry repo into the image instead of pulling it from github, so it works with branches and non-released versions
 * by default this runs a python 3 jupyter notebook on port 8888 with mhcflurry and some convenience packages installed
 * does not try to train any models or run tests. Models will eventually be downloaded from google cloud storage once we have that working
 * it’s pretty hefty unfortunately, around 2 gig

Also: removed the pin on keras<1.0 in requirements.txt

Add notebook that builds simple model running on TF backend

Didn't get to multiple outputs but did some experiments on shared embedding

fixed commandline script for making predictions

Stratified cross-validation

added batch normalization between layers, changed default weight initialization

added batch normalization between layers and changed default initialization to divide by sum of fan_in + fan_out instead of just fan_in