Amir Ghamarian ghamarian

ghamarian / gist:f736c3bf66357464da4a3044363dbca3

Created March 21, 2019 21:50

	-Learn-Artificial-Intelligence-with-TensorFlow
	origin https://github.com/PacktPublishing/-Learn-Artificial-Intelligence-with-TensorFlow.git (fetch)
	-----------------
	Advanced-Deep-Learning-with-Keras
	origin https://github.com/PacktPublishing/Advanced-Deep-Learning-with-Keras.git (fetch)
	-----------------
	Deep-Learning-with-Keras
	origin https://github.com/PacktPublishing/Deep-Learning-with-Keras.git (fetch)
	-----------------
	Distributed-Deep-Learning

ghamarian / simulation.py

Created March 18, 2019 08:21

final

	import bezier
	import networkx as nx
	from matplotlib import pyplot as plt

	import numpy as np, numpy.random


	# print(np.round(np.random.dirichlet(np.ones(10), size=1) * 170))

	def distribute(value, nodes, max_number):

ghamarian / wire_simulation.py

Created March 17, 2019 17:34

changed to yield

	import bezier
	import networkx as nx
	from matplotlib import pyplot as plt

	import numpy as np, numpy.random


	# print(np.round(np.random.dirichlet(np.ones(10), size=1) * 170))

	def distribute(value, nodes, max_number):

ghamarian / wire_simulation.py

Created March 17, 2019 15:22

length as parameter

	import bezier
	import networkx as nx
	from matplotlib import pyplot as plt

	import numpy as np, numpy.random


	# print(np.round(np.random.dirichlet(np.ones(10), size=1) * 170))

	def distribute(value, nodes, max_number):

ghamarian / wire_simulation.py

Created March 17, 2019 15:11

first complete version. (still no styling)

	import bezier
	import networkx as nx
	from matplotlib import pyplot as plt

	import numpy as np, numpy.random


	# print(np.round(np.random.dirichlet(np.ones(10), size=1) * 170))

	def distribute(value, nodes, max_number):

ghamarian / wire_simulator.py

Created March 16, 2019 21:55

draw both graph and curvy ones.

	import bezier
	import networkx as nx
	from matplotlib import pyplot as plt

	import numpy as np, numpy.random


	# print(np.round(np.random.dirichlet(np.ones(10), size=1) * 170))

	def distribute(value, nodes, max_number):

ghamarian / wire_simulator.py

Created March 16, 2019 20:51

only one sided but with image generator

	import bezier
	import networkx as nx
	from matplotlib import pyplot as plt
	from itertools import product

	import numpy as np, numpy.random


	# print(np.round(np.random.dirichlet(np.ones(10), size=1) * 170))
	from matplotlib.figure import Figure

ghamarian / network.py

Created March 16, 2019 17:28

	import networkx as nx
	from matplotlib import pyplot as plt
	from itertools import product

	import numpy as np, numpy.random


	# print(np.round(np.random.dirichlet(np.ones(10), size=1) * 170))

	def distribute(value, nodes, max_number):

ghamarian / gist:024da492bc252ddd067ad02d09eb049a

Created March 12, 2019 20:47

	-Learn-Artificial-Intelligence-with-TensorFlow
	origin https://github.com/PacktPublishing/-Learn-Artificial-Intelligence-with-TensorFlow.git (fetch)
	-----------------
	Advanced-Deep-Learning-with-Keras
	origin https://github.com/PacktPublishing/Advanced-Deep-Learning-with-Keras.git (fetch)
	-----------------
	Deep-Learning-with-Keras
	origin https://github.com/PacktPublishing/Deep-Learning-with-Keras.git (fetch)
	-----------------
	Distributed-Deep-Learning

ghamarian / distributed tensorflow

Created March 10, 2019 19:23

distributed tensorflow

	https://clusterone.com/tutorials/distributed-tensorflow
	https://github.com/hn826/distributed-tensorflow/blob/master/distributed-deep-mnist-with-queue.py -> with queue