jakeoung

import torch.autograd.Variable

max, max_idx = Variable.max(x, 1)
max = Variable.expand_as(max, x)
x = Variable.exp(x - max)
p = Variable(torch.zeros(x.size()))
for i in range(64):
  sum = Variable.sum(x[i, :]).data[0]
  p[i, :] = x[i, :] / sum

jakeoung

########## main.py
import argparse
import time

parser = argparse.ArgumentParser(add_help=False)
parser.add_argument('--niter', type=int, default=100, help='number of iteration')

args, unparsed = parser.parse_known_args()

# make output file name containing the key parameters

jakeoung

/*
JKImage library for communicating with python

Rules
- The input image usually follows the order of [Channel x ny x nx]
- 
*/

#include <math.h>
#include <stdio.h>

jakeoung

import re
import requests
import titlecase

# I doubt if we need to go above ten
words_to_numerals =\
    {
        'first': '1',
        'second': '2',
        'third': '3',

jakeoung

## STEP1: install tmux-plugin
git clone https://github.com/tmux-plugins/tpm ~/.tmux/plugins/tpm

echo "# List of plugins
set -g @plugin 'tmux-plugins/tpm'
set -g @plugin 'tmux-plugins/tmux-sensible'

# Other examples:
# set -g @plugin 'github_username/plugin_name'
# set -g @plugin 'git@github.com/user/plugin'

jakeoung

echo "LABEL=cloudimg-rootfs   /        ext4   defaults        0 0
/dev/xvdb /home01 ext4 defaults 0 2" >> /etc/fstab

jakeoung

sudo echo "su ubuntu -c 'bash /home/ubuntu/start_script.sh'" >> /etc/rc.local
# make ~/start_script.sh

jakeoung

apt-get upgrade
apt-get install python-setuptools git vim
easy_install pip

jakeoung

import numpy as np
import matplotlib.pyplot as plt
import astra

if 0:
    data_corr = np.load('tomo_corr.npy')
    vecs = np.load('vectors.npy')
else:
    import scipy.io
    data_mat = scipy.io.loadmat('../data/Fewer_Plastics_tomo_corr_low_high_vectors')

jakeoung

using Plots
using SpecialFunctions

function GoS(x)
    -(1 .- erf.(x))
end

function G(x, sigma)
    exp.(-x.^2 ./ (2*sigma^2))
end