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cosmincatalin /
Created Mar 20, 2018
The first part of a SageMaker script for building an MXNet model that counts shapes in an image.
import logging
from pickle import load
import mxnet as mx
import numpy as np
from mxnet import autograd, nd, gluon
from mxnet.gluon import Trainer
from mxnet.gluon.loss import L2Loss
from mxnet.gluon.nn import Conv2D, MaxPool2D, Dropout, Flatten, Dense, Sequential
from mxnet.initializer import Xavier
cosmincatalin / Shiny server with
Last active Sep 13, 2017
Shiny community server with OAuth on Amazon EC2
View Shiny server with

Shiny community server with OAuth on Amazon EC2


This is detailed description of how to set-up a Shiny server (community edition) on an AWS EC2 instance, behind an OAuth2 security layer (Google OAuth2 in this case, but it can be something else).


  • A Google Developer account
  • An Amazon Web Services account
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