Siddha Ganju sidgan

In this article, I will share some of my experience on installing NVIDIA driver and CUDA on Linux OS. Here I mainly use Ubuntu as example. Comments for CentOS/Fedora are also provided as much as I can.

Installation

Installation instructions are basically notes that I took while installing openface on MacOSX El Capitan.

System packages

brew install bash coreutils curl findutils opencv
brew install python --framework --universal --with-brewed-openssl
brew install boost-python --universal

Mathematics: What do grad students in math do all day?

by Yasha Berchenko-Kogan

A lot of math grad school is reading books and papers and trying to understand what's going on. The difficulty is that reading math is not like reading a mystery thriller, and it's not even like reading a history book or a New York Times article.

The main issue is that, by the time you get to the frontiers of math, the words to describe the concepts don't really exist yet. Communicating these ideas is a bit like trying to explain a vacuum cleaner to someone who has never seen one, except you're only allowed to use words that are four letters long or shorter.

What can you say?

	# -- coding: utf-8 --

	import os
	import sys
	import grequests
	import numpy as np
	import pandas as pd
	from lxml import html
	from time import sleep
	from datetime import date, timedelta

	# requirements: curl, jq, python, pandas

	# brew install jq
	# pip install pandas

	# prints top 50 papers

	curl -sS "https://openreview.net/notes?invitation=ICLR.cc%2F2018%2FConference%2F-%2FBlind_Submission&offset=0&limit=5000" \| jq -r '.notes[] \| .content.title + "\t" + (.replyCount\|tostring)' > subset.tsv && python -c 'from pprint import pprint; import pandas as pd; d=pd.read_csv("subset.tsv", header=None, delimiter="\t"); d.columns=["title", "replies"]; pprint(d.sort_values(by="replies", ascending=False).head(50).title.tolist());' && rm -f subset.tsv

	# number of papers in top 50 on adversarial networks

	import caffe
	caffe.set_mode_cpu()
	import numpy as np
	from numpy import prod, sum
	from pprint import pprint

	def print_net_parameters (deploy_file):
	print "Net: " + deploy_file
	net = caffe.Net(deploy_file, caffe.TEST)
	print "Layer-wise parameters: "

	import numpy as np
	import tensorflow as tf
	from tensorflow.python.ops import seq2seq
	from tensorflow.python.ops import rnn_cell

	seed = 7
	np.random.seed(7)


	def generate_sequences(sequence_num, sequence_length, batch_size):

	#!/usr/bin/env python

	from PySide.QtCore import *
	from PySide.QtGui import *
	import cv2
	import sys

	class MainApp(QWidget):

	def __init__(self):

Siddha Ganju sidgan

Table of Contents

Installation

System packages

Mathematics: What do grad students in math do all day?