Shane Barratt sbarratt

## 3per.py
import matplotlib.pyplot as plt
from numpy.fft import fft
from numpy.fft import fftshift
import numpy as np
import random

dictionary = ['A','C','G','T']

def generate_random_sequence(N):
	return [dictionary[random.randint(0,len(dictionary)-1)] for _ in range(N)]

## keyboardhook.cpp
#include <stdio.h>
#include <tchar.h>
#include <Windows.h>
#include <iostream>

HHOOK hHook{ NULL };

enum Keys
{
	ShiftKey = 16,

## utoh.py
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Urls to Hyperlinks.

This script takes line-separated urls from stdin and writes formatted hyperlinks to stdout.

Usage:
# cat urls.txt | python ltoh.py > hyperlinks.

"""

## windows_multi.cpp
//more details: http://www.bogotobogo.com/cplusplus/multithreaded2A.php

#include <Windows.h>
#include <process.h>
#include <stdio.h>

unsigned int __stdcall test_thread(void *data) {
        printf("Thread Started");
        return 0;
}

## scrolltest.html
<html>
<head>
	<style>
		#content {
			font-size: 18;
			text-align: center;
			padding-top: 150px;
		}
		.blurry-text {
		   color: transparent;

## mlp.py
from tensorflow.examples.tutorials.mnist import input_data
import tensorflow as tf
import matplotlib.pyplot as plt

# Load data

mnist = input_data.read_data_sets('MNIST_data', one_hot=True)

# Neural Network Initialization

## cnn.py
"""CNN from https://www.microsoft.com/en-us/research/wp-content/uploads/2003/08/icdar03.pdf"""

from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets('MNIST_data', one_hot=True)

import tensorflow as tf

def weight_variable(shape):
    initial = tf.random_normal(shape, stddev=0.05)
    return tf.Variable(initial)

## Presentation.ipynb

      
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                sbarratt
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              August 28, 2016 18:11
            
          
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## geo.py
"""
This script provides coordinate transformations from Geodetic -> ECEF, ECEF -> ENU
and Geodetic -> ENU (the composition of the two previous functions). Running the script
by itself runs tests.
based on https://gist.github.com/govert/1b373696c9a27ff4c72a.
"""
import math

a = 6378137
b = 6356752.3142

## kmeans_missing.py
"""
Author: Shane Barratt
Email: sbarratt@stanford.edu
K-means script that works with NaN entries.
"""

import numpy as np
import IPython as ipy
import matplotlib.pyplot as plt
	import matplotlib.pyplot as plt
	from numpy.fft import fft
	from numpy.fft import fftshift
	import numpy as np
	import random

	dictionary = ['A','C','G','T']

	def generate_random_sequence(N):
	return [dictionary[random.randint(0,len(dictionary)-1)] for _ in range(N)]
	#include <stdio.h>
	#include <tchar.h>
	#include <Windows.h>
	#include <iostream>

	HHOOK hHook{ NULL };

	enum Keys
	{
	ShiftKey = 16,
	#!/usr/bin/env python
	# -- coding: utf-8 --
	"""Urls to Hyperlinks.

	This script takes line-separated urls from stdin and writes formatted hyperlinks to stdout.

	Usage:
	# cat urls.txt \| python ltoh.py > hyperlinks.

	"""
	//more details: http://www.bogotobogo.com/cplusplus/multithreaded2A.php

	#include <Windows.h>
	#include <process.h>
	#include <stdio.h>

	unsigned int __stdcall test_thread(void *data) {
	printf("Thread Started");
	return 0;
	}
	<html>
	<head>
	<style>
	#content {
	font-size: 18;
	text-align: center;
	padding-top: 150px;
	}
	.blurry-text {
	color: transparent;
	from tensorflow.examples.tutorials.mnist import input_data
	import tensorflow as tf
	import matplotlib.pyplot as plt

	# Load data

	mnist = input_data.read_data_sets('MNIST_data', one_hot=True)

	# Neural Network Initialization
	"""CNN from https://www.microsoft.com/en-us/research/wp-content/uploads/2003/08/icdar03.pdf"""

	from tensorflow.examples.tutorials.mnist import input_data
	mnist = input_data.read_data_sets('MNIST_data', one_hot=True)

	import tensorflow as tf

	def weight_variable(shape):
	initial = tf.random_normal(shape, stddev=0.05)
	return tf.Variable(initial)
	"""
	This script provides coordinate transformations from Geodetic -> ECEF, ECEF -> ENU
	and Geodetic -> ENU (the composition of the two previous functions). Running the script
	by itself runs tests.
	based on https://gist.github.com/govert/1b373696c9a27ff4c72a.
	"""
	import math

	a = 6378137
	b = 6356752.3142
	"""
	Author: Shane Barratt
	Email: sbarratt@stanford.edu
	K-means script that works with NaN entries.
	"""

	import numpy as np
	import IPython as ipy
	import matplotlib.pyplot as plt