Kyle Kastner kastnerkyle

computers and music are fun Twitter: @kastnerkyle

kastnerkyle / example_pairwise.py

Last active June 11, 2022 17:13

Example of pairwise processing with "smart broadcasting"

	import numpy as np

	def exponential_kernel(x1, x2):
	# Broadcasting tricks to get every pairwise distance.
	return np.exp(-((x1[np.newaxis, :, :] - x2[:, np.newaxis, :]) ** 2).sum(2)).T

	a = np.random.randn(100, 5)

	print(exponential_kernel(a, a).shape)

kastnerkyle / example_theano_clone.py

Created July 29, 2014 14:26

Example of using theano.clone to replace an input

	import theano.tensor as T
	import theano

	a = T.vector()
	b = T.matrix()
	fa = a ** 2
	f = theano.function([a], fa)
	f2 = theano.function([b], theano.clone(fa, replace={a: b}, strict=False))
	print(f([2]))
	print(f2([[2]]))

kastnerkyle / single_file_cp.py

Created September 8, 2014 00:15

The CP algorithm from scikit-tensor in a single file. Should be identical (or damn close)!

	# License: GPL
	# Based on scikit-tensor by mnick
	# https://github.com/mnick/scikit-tensor

	"""Tensor factorization."""
	import numpy as np
	from scipy import linalg


	def _matricize(X, axis):

kastnerkyle / speech.py

Last active July 23, 2020 06:52

Code for speech and audio experiments. - DEPRECATED! See audio_tools.py

	# License: BSD 3-clause
	# Authors: Kyle Kastner,
	# Pierre Luc Carrier

	import numpy as np
	from numpy.lib.stride_tricks import as_strided
	import scipy.signal as sg
	from scipy import linalg, fftpack
	from numpy.testing import assert_almost_equal

kastnerkyle / covariance_test.py

Last active August 29, 2015 14:10

Test code for combining covariances

	import numpy as np
	from numpy.testing import assert_almost_equal

	A = np.arange(200).reshape(40, 5).astype('float32')
	B = np.arange(100).reshape(20, 5) + 10.
	C = np.vstack((A, B))

	mA = np.mean(A, axis=0)
	mB = np.mean(B, axis=0)
	mC = np.mean(C, axis=0)

kastnerkyle / test_ctc.py

Last active October 11, 2015 03:42

Test of log-space CTC cost function

	"""
	bitmap utils and much of the ctc code modified from Shawn Tan
	"""
	# Author: Kyle Kastner
	# License: BSD 3-clause
	from theano import tensor
	from scipy import linalg
	import theano
	import numpy as np
	import matplotlib.pyplot as plt

kastnerkyle / fm.py

Created January 30, 2015 19:05

Simple frequency modulation

	import numpy as np
	import matplotlib.pyplot as plt

	control = np.zeros(10000)
	control[:2000] = -50
	control[5000:7000] = 50.
	control[7000:] = -50


	def frequency_modulation(modulation_signal, carrier_freq=100.,

kastnerkyle / conv_deconv_vae.py

Last active October 19, 2024 08:20

Convolutional Variational Autoencoder, modified from Alec Radford at (https://gist.github.com/Newmu/a56d5446416f5ad2bbac)

	# Alec Radford, Indico, Kyle Kastner
	# License: MIT
	"""
	Convolutional VAE in a single file.
	Bringing in code from IndicoDataSolutions and Alec Radford (NewMu)
	Additionally converted to use default conv2d interface instead of explicit cuDNN
	"""
	import theano
	import theano.tensor as T
	from theano.compat.python2x import OrderedDict

kastnerkyle / vae.py

Created March 26, 2015 18:10

VAE in a single file

	# Alec Radford, Indico, Kyle Kastner
	# License: MIT
	"""
	VAE in a single file.
	Bringing in code from IndicoDataSolutions and Alec Radford (NewMu)
	"""
	import theano
	import theano.tensor as T
	from theano.compat.python2x import OrderedDict
	from theano.sandbox.rng_mrg import MRG_RandomStreams as RandomStreams

kastnerkyle / hashing_perceptron.py

Last active January 29, 2019 06:36

	# Original code from tinrtgu on Kaggle under WTFPL license
	# Relicensed to BSD 3-clause (it does say do what you want...)
	# Authors: Kyle Kastner
	# License: BSD 3-clause

	# Reference links:
	# Adaptive learning: http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/41159.pdf
	# Criteo scalable response prediction: http://people.csail.mit.edu/romer/papers/TISTRespPredAds.pdf
	# Vowpal Wabbit (hashing trick): https://github.com/JohnLangford/vowpal_wabbit/
	# Hashing Trick: http://arxiv.org/pdf/0902.2206.pdf