Rohith Gandhi G grohith327

2+2=4

grohith327 / pix2pix_simplegan.py

Created March 12, 2020 16:22

	from simplegan.gan import Pix2Pix
	## Create an object
	gan = Pix2Pix() ## Customize the model by specifying parameters for Pix2Pix object
	## Load the training and testing data
	train_ds, test_ds = gan.load_data(use_edges2handbags = True, batch_size = 32)
	## Get samples from training data
	train_samples = gan.get_sample(data= train_ds, n_samples = 2)
	## Get samples from testing data
	train_samples = gan.get_sample(data= test_ds, n_samples = 2)
	## train the model

grohith327 / Convolutional_AE_simplegan.py

Last active March 12, 2020 16:18

	from simplegan.autoencoder import ConvolutionalAutoencoder
	## Create an object
	autoenc = ConvolutionalAutoencoder() ## Modify the architecture of the model by specifying parameters
	## Load the MNIST data
	train_ds, test_ds = autoenc.load_data(use_mnsist = True)
	## Get samples from the loaded training data to view them
	train_samples = autoenc.get_sample(data = train_ds, n_samples = 2)
	## Get samples from the loaded testing data to view them
	test_samples = autoenc.get_sample(data = test_ds, n_samples = 2)
	## Train the model

grohith327 / predict_perform.py

Created October 30, 2019 19:07

	import pyaudio
	import wave
	from keras.models import load_model
	import librosa
	import numpy as np
	import warnings
	import osascript
	import webbrowser
	import os
	import cv2

grohith327 / picture.py

Created October 30, 2019 19:01

	import cv2

	cam = cv2.VideoCapture(0)

	cv2.namedWindow("take a picture")
	img_counter = 0
	while True:
	ret, frame = cam.read()
	cv2.imshow("test", frame)
	if not ret:

grohith327 / CPU_Utilization.py

Created October 30, 2019 18:59

grohith327 / Open_Google.py

Created October 30, 2019 18:56

	import webbrowser

	webbrowser.open('http://google.com')

grohith327 / Increase_Volume.py

Created October 30, 2019 18:56

	import osascript

	vol = osascript.osascript('get volume settings')
	cur_vol = int(vol[1].split(':')[1].split(',')[0])
	cur_vol = cur_vol + 20
	if(cur_vol > 100):
	cur_vol = 100
	osascript.osascript("set volume output volume "+str(cur_vol))

grohith327 / Decrease_volume.py

Created October 30, 2019 18:14

	import osascript

	vol = osascript.osascript('get volume settings')
	cur_vol = int(vol[1].split(':')[1].split(',')[0])
	cur_vol = cur_vol - 20
	if(cur_vol < 0):
	cur_vol = 0
	osascript.osascript("set volume output volume "+str(cur_vol))

grohith327 / Train.py

Created October 30, 2019 17:59

	@tf.function
	def train_step(images, labels):
	with tf.GradientTape() as tape:
	predictions = model(images)
	loss = loss_object(labels, predictions)
	gradients = tape.gradient(loss, model.trainable_variables)
	optimizer.apply_gradients(zip(gradients, model.trainable_variables))

	train_loss(loss)
	train_accuracy(labels, predictions)

grohith327 / CNN.py

Created October 30, 2019 17:56

	import tensorflow as tf
	from tensorflow.keras.layers import Dense, Flatten, Conv2D, MaxPool2D, Dropout

	# Create training and testing datasets from tensors
	train_ds = tf.data.Dataset.from_tensor_slices((X_train, y_train)).batch(1)
	test_ds = tf.data.Dataset.from_tensor_slices((X_test, y_test)).batch(1)

	# CNN Model
	class Command(Model):
	def __init__(self):