akki2825

## This is a Dockerfile that installs MFA v1.0.1

FROM ubuntu:18.04
RUN apt update
RUN apt install software-properties-common -y
RUN add-apt-repository ppa:deadsnakes/ppa
RUN apt install python3.6 -y
RUN apt install wget -y
RUN echo "deb http://gb.archive.ubuntu.com/ubuntu/ bionic main universe" >> /etc/apt/sources.list
RUN apt install g++-6 -y

akki2825

#!/bin/sh

# Aeneas (python3.6+) installation that works only for MacOS.

echo "Cloning the py3-aeneas repository..."
git clone https://github.com/akki2825/aeneas
cd aeneas/

echo "Installing system dependencies..."
brew install python3

akki2825

#!/bin/sh

# Aeneas (python3.6+) installation that works only for Debian distros (including WSL with Ubuntu)

echo "Updating OS..."
sudo apt-get update
sudo apt-get upgrade

echo "Cloning py3-aeneas..."
git clone https://github.com/akki2825/aeneas

akki2825

#!/bin/bash

sudo systemctl start docker
echo "Docker is running!"

sudo make dev.checkout
sudo make dev.clone
sudo make dev.provision

echo "Updating devstack, sit back and enjoy!"

akki2825

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

akki2825

from __future__ import print_function

import numpy as np
import tensorflow as tf

# Import MNIST data
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("/tmp/data/", one_hot=True)

# In this example, we limit mnist data

akki2825

from __future__ import print_function

import tensorflow as tf

# Import MNIST data
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("/tmp/data/", one_hot=True)

# Parameters
learning_rate = 0.01

akki2825

from __future__ import print_function 
import tensorflow as tf
import numpy 
import matplotlib.pyplot as plt
import random 

#parameters
learning_rate = 0.01
training_epochs = 1000
display_step = 50

akki2825

from __future__ import print_function 
import tensorflow as tf

a= tf.constant(2)
b = tf.constant(3)

with tf.Session() as sess:
    print("a=2, b=3")
    print("Addition with constants: %i" % sess.run(a+b))
    print("Multiplication with constants: %i" % sess.run(a*b))

akki2825

from __future__ import print_function 

import tensorflow as tf

hello = tf.constant('Hello, Tensorflow!')
sess = tf.session()
print(sess.run(hello))
sess.close()

wp_embed_register_handler( 'gist', '/https?:\/\/gist\.github\.com\/([a-z0-9]+)(\?file=.*)?/i', 'bhww_embed_handler_gist' );