Ameya Wagh AmeyaWagh

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## get-ieee.txt
# If under a valid institutional IP address, the followng command will download an IEEE hosted paper of a specific <ID-NUMBER>
and saved it as paper.pdf

wget "http://ieeexplore.ieee.org/stampPDF/getPDF.jsp?tp=&isnumber=&arnumber=<ID-NUMBER>" -O paper.pdf

## waya-dl-setup.sh
#!/bin/bash

# install CUDA Toolkit v8.0
# instructions from https://developer.nvidia.com/cuda-downloads (linux -> x86_64 -> Ubuntu -> 16.04 -> deb (network))
CUDA_REPO_PKG="cuda-repo-ubuntu1604_8.0.61-1_amd64.deb"
wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/${CUDA_REPO_PKG}
sudo dpkg -i ${CUDA_REPO_PKG}
sudo apt-get update
sudo apt-get -y install cuda

## max_net.py
from __future__ import print_function
import torch
import torch.nn as nn
import random
import numpy as np
from torch import optim
import time
import torch.nn.functional as F
	# If under a valid institutional IP address, the followng command will download an IEEE hosted paper of a specific <ID-NUMBER>
	and saved it as paper.pdf

	wget "http://ieeexplore.ieee.org/stampPDF/getPDF.jsp?tp=&isnumber=&arnumber=<ID-NUMBER>" -O paper.pdf
	#!/bin/bash

	# install CUDA Toolkit v8.0
	# instructions from https://developer.nvidia.com/cuda-downloads (linux -> x86_64 -> Ubuntu -> 16.04 -> deb (network))
	CUDA_REPO_PKG="cuda-repo-ubuntu1604_8.0.61-1_amd64.deb"
	wget http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/${CUDA_REPO_PKG}
	sudo dpkg -i ${CUDA_REPO_PKG}
	sudo apt-get update
	sudo apt-get -y install cuda
	from __future__ import print_function
	import torch
	import torch.nn as nn
	import random
	import numpy as np
	from torch import optim
	import time
	import torch.nn.functional as F