<repo_name>drozzy/anoGAN<file_sep>/run-bash.sh
docker build -t ml-31156-a1 .
docker run -it -v "$PWD":/usr/src/app/src  --rm ml-31156-a1 bash<file_sep>/main.py
import numpy as np
import matplotlib.pyplot as plt
from keras.datasets import mnist
from tqdm import tqdm
import anogan

def main():
	(X_train, y_train), (X_test, y_test) = mnist.load_data()
	X_train = X_train.astype(np.float32)/255.
	X_train = X_train.reshape(60000, 28, 28, 1)


	Model_d, Model_g = anogan.train(32, X_train)

if __name__ == '__main__':
	main()<file_sep>/requirements.txt
python-twitter==3.4.2

numpy==1.15.2 
scipy==1.1.0
matplotlib==3.0.0
ipython==7.0.1
jupyter==1.0.0
pandas==0.23.4 
sympy==1.3
nose==1.3.7

statsmodels==0.9.0
seaborn==0.9.0
scikit-learn==0.20.0
tensorflow==1.11.0
keras==2.2.2
tqdm==4.28.1
neat-python==0.92