osdf

import sys
import scipy as sp
from scipy.special import gamma
import pylab


a = float(sys.argv[1])
b = float(sys.argv[2])

osdf

#!/usr/bin/env python
"""
__author__: Martin Felder
Demo for sequential bayesin learning
for linear regression models. See
Chapter 3.3 of 'Pattern recognition 
and machine learning' by Chris Bishop, 2001
"""

osdf

#! /usr/bin/env python
import numpy
import time
import scipy.linalg as linalg

try:
   import numpy.core._dotblas
   print 'Using ATLAS:'
except ImportError:
   print 'No ATLAS:'

osdf

#!/usr/bin/env python                                                           
import numpy
import sys
import timeit

try:
    import numpy.core._dotblas
    print 'FAST BLAS'
except ImportError:
    print 'slow blas'

osdf

require 'torch'
require 'nn'
require 'optim'

trainset = torch.load("mnist.t7/train_32x32.t7", "ascii")
trainset.data = trainset.data:resize(60000, 32*32)
trainset.data = trainset.data:double()

test = torch.load("mnist.t7/test_32x32.t7", "ascii")
test.data = test.data:resize(10000, 32*32)

osdf

"""
Some python code for
Markov Chain Monte Carlo and Gibs sampling
by Bruce Walsh
"""


import numpy as np
import numpy.linalg as npla

osdf

Keybase proof

I hereby claim:

• I am osdf on github.
• I am osi (https://keybase.io/osi) on keybase.
• I have a public key whose fingerprint is 28F9 8669 C94F C777 3AFC A7DD 926D C391 FA00 DA27

To claim this, I am signing this object:

osdf

Project 1: Panorama stitching

Due: 23 Sept 2014, 11:59pm

In this project, you'll write software that stitches multiple images of a scene together into a panorama automatically. A panorama is a composite image that has a wider field of view than a single image, and can combine images taken at different times for interesting effects.

Your image stitcher will, at a minimum, do the following: