koshian2’s gists

koshian2 / pytorch_fp32.py

Last active May 23, 2019 13:12

PyTorch FP32

	import torch
	import torch.optim as optim
	import torchvision
	import torchvision.transforms as transforms
	from pytorch_models import Layer10CNN, WideResNet
	import numpy as np
	import datetime
	import time
	import pickle

koshian2 / TensorFlow channels First

Created May 20, 2019 05:41

gpu_tpu_2.py

	import tensorflow as tf
	import tensorflow.python.keras as keras
	import tensorflow.python.keras.layers as layers
	import tensorflow.python.keras.backend as K
	from tensorflow.contrib.tpu.python.tpu import keras_support
	import datetime
	import time
	import pickle
	import os
	import numpy as np

koshian2 / gpu_tpu_1.py

Created May 14, 2019 00:05

GPU vs TPU 1

	import tensorflow as tf
	import tensorflow.python.keras as keras
	import tensorflow.python.keras.layers as layers
	from tensorflow.contrib.tpu.python.tpu import keras_support
	import datetime
	import time
	import pickle
	import os

	def conv_bn_relu(input, ch, reps):

koshian2 / error_analysis_cifar.py

Last active February 25, 2020 12:38

Manual augmentaion in CIFAR-10

	import tensorflow as tf
	from tensorflow.keras import layers
	from tensorflow.keras.models import Model
	from tensorflow.keras.preprocessing.image import ImageDataGenerator
	from tensorflow.keras.callbacks import Callback, History, LearningRateScheduler
	from tensorflow.keras.optimizers import SGD
	from tensorflow.contrib.tpu.python.tpu import keras_support
	from sklearn.metrics import confusion_matrix

	from tensorflow.keras.datasets import cifar10

koshian2 / increase_batchsize.py

Created February 18, 2019 03:49

Don't Decay the Learning Rate, Increase the Batch Size

	import tensorflow as tf
	from tensorflow.keras import layers
	from tensorflow.keras.models import Model
	from tensorflow.keras.preprocessing.image import ImageDataGenerator
	from tensorflow.keras.callbacks import History, LearningRateScheduler
	from tensorflow.keras.optimizers import SGD
	from tensorflow.contrib.tpu.python.tpu import keras_support
	import tensorflow.keras.backend as K

	from keras.datasets import cifar10

koshian2 / case4.py

Created January 28, 2019 12:53

BC-learning case4

	import tensorflow as tf
	from tensorflow.keras import layers
	from tensorflow.keras.models import Model
	from tensorflow.keras.callbacks import History, LearningRateScheduler
	from tensorflow.contrib.tpu.python.tpu import keras_support
	from tensorflow.keras.optimizers import SGD
	import tensorflow.keras.backend as K
	from keras.regularizers import l2

	import numpy as np

koshian2 / case5.py

Created January 28, 2019 12:52

BC-learning case5

	import tensorflow as tf
	from tensorflow.keras import layers
	from tensorflow.keras.models import Model
	from tensorflow.keras.callbacks import History, LearningRateScheduler
	from tensorflow.keras.preprocessing.image import ImageDataGenerator
	from tensorflow.contrib.tpu.python.tpu import keras_support
	from tensorflow.keras.optimizers import SGD
	import tensorflow.keras.backend as K
	from keras.regularizers import l2

koshian2 / arccos_triplet.py

Created January 25, 2019 13:43

Train with 1000 arccos triplet loss

	import tensorflow as tf
	from tensorflow.keras import layers
	from tensorflow.keras.models import Model
	from tensorflow.keras.callbacks import Callback, History, LearningRateScheduler
	import tensorflow.keras.backend as K
	from tensorflow.contrib.tpu.python.tpu import keras_support

	from train1000 import cifar10
	import numpy as np
	from sklearn.metrics.pairwise import cosine_similarity

koshian2 / euclidean_triplet.py

Last active January 25, 2019 13:29

Train with 1000 triplet loss euclidean distance

	import tensorflow as tf
	from tensorflow.keras import layers
	from tensorflow.keras.models import Model
	from tensorflow.keras.callbacks import Callback, History, LearningRateScheduler
	import tensorflow.keras.backend as K
	from tensorflow.contrib.tpu.python.tpu import keras_support

	from train1000 import cifar10
	import numpy as np
	from sklearn.metrics import accuracy_score, euclidean_distances

koshian2 / simple_softmax.py

Created January 25, 2019 05:50

simple_softmax

	import tensorflow as tf
	from tensorflow.keras import layers
	from tensorflow.keras.models import Model
	from tensorflow.keras.callbacks import Callback, History
	import tensorflow.keras.backend as K
	from tensorflow.contrib.tpu.python.tpu import keras_support

	from train1000 import cifar10
	import numpy as np
	import os, json, tarfile

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