Orhan Yalcin ogyalcin

Data Scientist / Lawyer

ogyalcin / NSTPlotTheImages.py

Created January 30, 2021 23:32

	import matplotlib.pyplot as plt

	plt.figure(figsize=(12, 12))
	plt.subplot(1, 2, 1)
	plt.imshow(content_image[0])
	plt.title('Content Image')
	plt.subplot(1, 2, 2)
	plt.imshow(style_image[0])
	plt.title('Style Image')

ogyalcin / NSTLoadImages2.py

Created January 30, 2021 23:31

	content_image = load_img(content_path)
	style_image = load_img(style_path)

ogyalcin / NSTLoadImages.py

Created January 30, 2021 23:31

	def load_img(path_to_img):
	# Reads and outputs the entire contents of the input filename.
	img = tf.io.read_file(path_to_img)
	# Detect whether an image is a BMP, GIF, JPEG, or PNG, and
	# performs the appropriate operation to convert the input
	# bytes string into a Tensor of type dtype
	img = tf.image.decode_image(img, channels=3)
	# Convert image to dtype, scaling (MinMax Normalization) its values if needed.
	img = tf.image.convert_image_dtype(img, tf.float32)
	# Scale the image using the custom function we created

ogyalcin / NSTImageScaler.py

Created January 30, 2021 23:30

	def img_scaler(image, max_dim = 256):
	# Casts a tensor to a new type.
	original_shape = tf.cast(tf.shape(image)[:-1], tf.float32)
	# Creates a scale constant for the image
	scale_ratio = 4 * max_dim / max(original_shape)
	# Casts a tensor to a new type.
	new_shape = tf.cast(original_shape * scale_ratio, tf.int32)
	# Resizes the image based on the scaling constant generated above
	return tf.image.resize(image, new_shape)

ogyalcin / NSTSetTheImagePaths.py

Created January 30, 2021 23:29

	import tensorflow as tf

	content_path = tf.keras.utils.get_file('photo-1563306406-e66174fa3787',
	'https://images.unsplash.com/photo-1563306406-e66174fa3787')

	style_path = tf.keras.utils.get_file('Andy-Warhol--Marilyn-Monroe-Hot-Pink-1967-Andy-Warhol-Poster.jpg',
	'https://product-image.juniqe-production.juniqe.com/media/catalog/product/seo-cache/x800/7/7/776-8-101P-13x18-1/Andy-Warhol--Marilyn-Monroe-Hot-Pink-1967-Andy-Warhol-Poster.jpg')

ogyalcin / dl_models.csv

Last active January 11, 2021 16:00

	Name	Main Approach
	Feedforward Neural Network	Supervised Learning
	Convolutional Neural Network	Supervised Learning
	Recurrent Neural Network	Supervised Learning
	Transformer Networks	Supervised Learning
	Autoencoders	Unsupervised Learning
	Generative Adversarial Networks	Unsupervised Learning
	Deep Recommender Systems	Unsupervised Learning
	Self Organizing Maps (SOMs)	Unsupervised Learning
	Deep Belief Networks	Supervised and Unsupervised Learning

ogyalcin / dlf_cntk.py

Last active January 9, 2021 13:42

	!apt-get install --no-install-recommends openmpi-bin libopenmpi-dev libopencv-dev python3-opencv python-opencv
	!ln -sf /usr/lib/x86_64-linux-gnu/libmpi_cxx.so /usr/lib/x86_64-linux-gnu/libmpi_cxx.so.1
	!ln -sf /usr/lib/x86_64-linux-gnu/openmpi/lib/libmpi.so /usr/lib/x86_64-linux-gnu/openmpi/lib/libmpi.so.12
	!ln -sf /usr/lib/x86_64-linux-gnu/libmpi.so /usr/lib/x86_64-linux-gnu/libmpi.so.12
	!pip install cntk
	import cntk as C

ogyalcin / dlf_mxnet.py

Created January 9, 2021 13:33

	!pip install mxnet
	import mxnet as mx

ogyalcin / dlf_torch.py

Created January 9, 2021 13:32

	!pip install torch torchvision
	import torch

ogyalcin / dlf_keras.py

Created January 9, 2021 13:31

	!pip install Keras
	import keras