A TensorFlow Serving solution for use in SageMaker
...The Dockerfiles are grouped based on the version of TensorFlow Serving they support. Each supported processor type (e.g. "cpu", "gpu", "ei") has a different Dockerfile in each group. If your are testing locally, building the image is enough. But if you want to your updated image in SageMaker, you need to publish it to an ECR repository in your account. You can also run your container locally in Docker to test different models and input inference requests by hand.
A TextMap module for Python.
The TextMap class can be used to emulate oldfashioned computer screens. It will have methods like writexy(x,y,text),
input = readxy(x,y,text), clear(), scroll(x,y),
change(coloroptions), settext(text), input = gettext()