Graham Taylor gwtaylor

## oasis.py
""" Python implementation of the OASIS algorithm.
Graham Taylor

Based on Matlab implementation of:
Chechik, Gal, et al.
"Large scale online learning of image similarity through ranking."
The Journal of Machine Learning Research 11 (2010): 1109-1135.
"""

from __future__ import division

## RootFinding.ipynb

      
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                gwtaylor
                / RootFinding.ipynb
            
            
              Created
              February 7, 2013 23:36
            
              
                ENGG*1210 Root Finding demonstration
              
          
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## crbm.py
""" Theano CRBM implementation.

For details, see:
Taylor GW, Hinton GE, Roweis ST. Modeling Human Motion Using Binary Latent Variables.
In: Advances in Neural Information Processing Systems 19. MIT Press; 2007. pp. 1345–1352.
Sample data:
https://uoguelphca-my.sharepoint.com/:u:/g/personal/gwtaylor_uoguelph_ca/EfJARkZuiX1JmwMKQxQqKJMBaMBUNOcF83FW_n9gk7OIbg?e=fnCjet
@author Graham Taylor"""

import numpy

## Apple BLAS
(x86_64-apple-darwin10.8.0)dhcp0-176:Theano gwtaylor$ THEANO_FLAGS=blas.ldflags=-lblas python theano/misc/check_blas.py

        Some results that you can compare against. They were 10 executions
        of gemm in float64 with matrices of shape 2000x2000 (M=N=K=2000).
        All memory layout was in C order.

        CPU tested: Xeon E5345(2.33Ghz, 8M L2 cache, 1333Mhz FSB),
                    Xeon E5430(2.66Ghz, 12M L2 cache, 1333Mhz FSB),
                    Xeon E5450(3Ghz, 12M L2 cache, 1333Mhz FSB),
                    Xeon X5560(2.8Ghz, 12M L2 cache, hyper-threads?)
	""" Python implementation of the OASIS algorithm.
	Graham Taylor

	Based on Matlab implementation of:
	Chechik, Gal, et al.
	"Large scale online learning of image similarity through ranking."
	The Journal of Machine Learning Research 11 (2010): 1109-1135.
	"""

	from __future__ import division
	""" Theano CRBM implementation.

	For details, see:
	Taylor GW, Hinton GE, Roweis ST. Modeling Human Motion Using Binary Latent Variables.
	In: Advances in Neural Information Processing Systems 19. MIT Press; 2007. pp. 1345–1352.
	Sample data:
	https://uoguelphca-my.sharepoint.com/:u:/g/personal/gwtaylor_uoguelph_ca/EfJARkZuiX1JmwMKQxQqKJMBaMBUNOcF83FW_n9gk7OIbg?e=fnCjet
	@author Graham Taylor"""

	import numpy
	(x86_64-apple-darwin10.8.0)dhcp0-176:Theano gwtaylor$ THEANO_FLAGS=blas.ldflags=-lblas python theano/misc/check_blas.py

	Some results that you can compare against. They were 10 executions
	of gemm in float64 with matrices of shape 2000x2000 (M=N=K=2000).
	All memory layout was in C order.

	CPU tested: Xeon E5345(2.33Ghz, 8M L2 cache, 1333Mhz FSB),
	Xeon E5430(2.66Ghz, 12M L2 cache, 1333Mhz FSB),
	Xeon E5450(3Ghz, 12M L2 cache, 1333Mhz FSB),
	Xeon X5560(2.8Ghz, 12M L2 cache, hyper-threads?)