Arda Mavi ardamavi

Life Time Student - Research Assistant at Molecular Quantum Solutions - AI and Quantum Computing

ardamavi / XOR-Decoder.py

Last active July 14, 2020 06:07

Message Encoder and Decoder

	# Encrypted Message Decoder
	# Arda Mavi

	def decode(encrypted_binary_message, key):

	# Key to binary:
	binary_key = " ".join('{0:08b}'.format(ord(one_char), 'b') for one_char in key) + " "


	# Decode encrypted message with using key and XOR gate:

ardamavi / 3d-u-net.py

Created July 4, 2018 19:24

3D U-Net Model

	def get_3d_u_net(data_shape):

	inputs = Input(shape=(data_shape))

	conv_block_1 = Conv3D(32, (3, 3, 3), strides=(1, 1, 1), padding='same')(inputs)
	conv_block_1 = Activation('relu')(conv_block_1)
	conv_block_1 = Conv3D(32, (3, 3, 3), strides=(1, 1, 1), padding='same')(conv_block_1)
	conv_block_1 = Activation('relu')(conv_block_1)
	pool_block_1 = MaxPooling3D(pool_size=(2, 2, 2), strides=(2, 2, 2))(conv_block_1)

ardamavi / u-net.py

Created June 27, 2018 12:13

U-Net

	# Arda Mavi

	import os
	from keras.models import Model
	from keras.optimizers import Adam
	from keras.models import model_from_json
	from keras.layers import Input, Conv2D, UpSampling2D, Activation, MaxPooling2D, Flatten, Dense, concatenate, Dropout

	def save_model(model, path='Data/Model/', model_name = 'model', weights_name = 'weights.h5'):
	if not os.path.exists(path):

ardamavi / index.html

Last active March 5, 2019 11:10

Keras - Django Web App

	<html>
	<head>
	<title>Arda Mavi - App</title>
	</head>
	<body>
	<center>
	<a style="text-decoration: none; font-size: 6em;" href="/">
	<span style="color:#fc4f3f;">Arda Mavi</span> <span style="color:#808080"></span> <span style="color:#3377CC;">App</span>
	</a>
	<br/><br/><br/>

ardamavi / create_dataset.py

Created March 2, 2018 18:34

Create Dataset Process for ours Sign Language Digits Dataset

	# Arda Mavi
	# For https://github.com/ardamavi/Sign-Language-Digits-Dataset

	import os
	import cv2
	import platform
	import numpy as np
	from scipy.misc import imresize, imsave

	img_size = 100

ardamavi / ncs_process.py

Created January 19, 2018 18:21

Deep Learning with Intel Movidius Neural Compute Stick

	# Arda Mavi

	import mvnc.mvncapi as mvnc

	# Devices List:
	def get_devices_list():
	devices = mvnc.EnumerateDevices()
	if len(devices) == 0:
	print('Not found any Intel Movidius NCS device!')
	return None

ardamavi / get_dataset.py

Last active March 1, 2025 05:45

For reading datasets and converting to numpy files.

	# Arda Mavi
	import os
	import numpy as np
	from os import listdir
	from scipy.misc import imread, imresize
	from keras.utils import to_categorical
	from sklearn.model_selection import train_test_split

	# Settings:
	img_size = 64

ardamavi / get_model.py

Created October 22, 2017 15:59

Deep Learning Models With Keras

	# Arda Mavi
	import os
	import sys
	from keras.models import Model
	from keras.layers import Input, Conv2D, MaxPooling2D, Activation, Flatten, Dense, Dropout
	from keras.models import model_from_json

	def save_model(model, path='Data/Model'):
	if not os.path.exists(path):
	os.makedirs(path)

ardamavi / Sentence2Tensor.py

Last active September 8, 2017 11:55

Sentence to Tensor

	# Arda Mavi
	import string
	import numpy as np

	characters = string.printable # All printable characters.
	token_index = dict(zip(range(0, len(characters)), characters))
	max_word = 140
	max_length = 80
	char_len = 100 #len(token_index)

ardamavi / sentence_coder.py

Last active July 16, 2017 14:39

Sentence encoder and decoder

	"""
	By Arda Mavi
	github.com/ardamavi

	Using:
	# Encoder:
	If you want to encode your sentence, use this command: encode(<your_sentence>)
	Example:
	Your Sentence: "ar ma"
	Return: [[0.0, 0.6538461538461539], [0.46153846153846156, 0.0]]