Alex Eftimiades aeftimia

I hereby claim:

I am aeftimia on github.
I am aeftimia (https://keybase.io/aeftimia) on keybase.
I have a public key whose fingerprint is 59D0 61B3 4E9E A994 4370 AD00 A3F8 514D 5563 3C57

To claim this, I am signing this object:

I hereby claim:

I am aeftimia on github.
I am aeftimia (https://keybase.io/aeftimia) on keybase.
I have a public key whose fingerprint is 4D49 0581 C078 51D8 61C6 5214 5B2B 8E5D 30B9 A0F2

To claim this, I am signing this object:

	import numpy
	import scipy
	import scipy.spatial
	import scipy.optimize

	def constraint(alen, blen):
	return numpy.eye(alen)[..., numpy.newaxis] * numpy.ones(blen)[numpy.newaxis, numpy.newaxis]

	def emd(a, b, a_weights=None, b_weights=None):
	if a_weights is None:

	import numpy

	from keras.datasets import cifar10
	from sklearn import preprocessing
	from sklearn.tree import DecisionTreeClassifier

	(X_train, y_train), (X_test, y_test) = cifar10.load_data()
	X_train = X_train.astype('float32')
	X_test = X_test.astype('float32')

	import numpy
	import tensorflow

	from tensorflow.linalg import expm


	def orthogonalize(w, axis=None, orthonormal=False):
	"""Orthogonal weight constraint.
	Constrains the weights incident to each hidden unit
	to be orthogonal when there are more inputs than hidden units.

	import numpy
	import tensorflow

	from keras.constraints import Constraint
	from tensorflow.linalg import expm


	class Orthogonal(Constraint):
	"""Orthogonal weight constraint.
	Constrains the weights incident to each hidden unit