Shubhanshu Mishra napsternxg

## ERGM_from_scratch.ipynb

      
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                napsternxg
                / ERGM_from_scratch.ipynb
            
            
              Created
              April 11, 2018 03:55
                — forked from dmasad/ERGM_from_scratch
            
              
                Implementing an ERGM from scratch
              
          
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## wiktionarylookup.html
<html>
<head>
  <script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.4.3/jquery.min.js"></script>
  <script type="text/javascript">
var baseURL = 'https://en.wiktionary.org';
function showPage(page,text) {
  var sourceurl = baseURL + '/wiki/' + page;
  $('#pagetitle').text(page);
  $('#wikiInfo').html(text);
  $('#sourceurl').attr('href',sourceurl);

## useful_pandas_snippets.py
#List unique values in a DataFrame column
pd.unique(df.column_name.ravel())

#Convert Series datatype to numeric, getting rid of any non-numeric values
df['col'] = df['col'].astype(str).convert_objects(convert_numeric=True)

#Grab DataFrame rows where column has certain values
valuelist = ['value1', 'value2', 'value3']
df = df[df.column.isin(value_list)]

## forward.py
# "Colorizing B/W Movies with Neural Nets",
# Network/Code Created by Ryan Dahl, hacked by samim.io to work with movies
# BACKGROUND: http://tinyclouds.org/colorize/
# DEMO: https://www.youtube.com/watch?v=_MJU8VK2PI4
# USAGE:
# 1. Download TensorFlow model from: http://tinyclouds.org/colorize/
# 2. Use FFMPEG or such to extract frames from video.
# 3. Make sure your images are 224x224 pixels dimension. You can use imagemagicks "mogrify", here some useful commands:
# mogrify -resize 224x224 *.jpg
# mogrify -gravity center -background black -extent 224x224 *.jpg

## logit_scale.ipynb

      
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                napsternxg
                / logit_scale.ipynb
            
            
              Last active
              August 29, 2015 14:27
                — forked from pierre-haessig/logit_scale.ipynb
            
              
                Logit scale, for plotting cumulated probability distributions (matplotlib implementation). Better visualization of the tails
              
          
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## np_extractor.py
# coding=UTF-8
import nltk
from nltk.corpus import brown

# This is a fast and simple noun phrase extractor (based on NLTK)
# Feel free to use it, just keep a link back to this post
# http://thetokenizer.com/2013/05/09/efficient-way-to-extract-the-main-topics-of-a-sentence/
# Create by Shlomi Babluki
# May, 2013
	<html>
	<head>
	<script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/jquery/1.4.3/jquery.min.js"></script>
	<script type="text/javascript">
	var baseURL = 'https://en.wiktionary.org';
	function showPage(page,text) {
	var sourceurl = baseURL + '/wiki/' + page;
	$('#pagetitle').text(page);
	$('#wikiInfo').html(text);
	$('#sourceurl').attr('href',sourceurl);
	#List unique values in a DataFrame column
	pd.unique(df.column_name.ravel())

	#Convert Series datatype to numeric, getting rid of any non-numeric values
	df['col'] = df['col'].astype(str).convert_objects(convert_numeric=True)

	#Grab DataFrame rows where column has certain values
	valuelist = ['value1', 'value2', 'value3']
	df = df[df.column.isin(value_list)]
	# "Colorizing B/W Movies with Neural Nets",
	# Network/Code Created by Ryan Dahl, hacked by samim.io to work with movies
	# BACKGROUND: http://tinyclouds.org/colorize/
	# DEMO: https://www.youtube.com/watch?v=_MJU8VK2PI4
	# USAGE:
	# 1. Download TensorFlow model from: http://tinyclouds.org/colorize/
	# 2. Use FFMPEG or such to extract frames from video.
	# 3. Make sure your images are 224x224 pixels dimension. You can use imagemagicks "mogrify", here some useful commands:
	# mogrify -resize 224x224 *.jpg
	# mogrify -gravity center -background black -extent 224x224 *.jpg
	# coding=UTF-8
	import nltk
	from nltk.corpus import brown

	# This is a fast and simple noun phrase extractor (based on NLTK)
	# Feel free to use it, just keep a link back to this post
	# http://thetokenizer.com/2013/05/09/efficient-way-to-extract-the-main-topics-of-a-sentence/
	# Create by Shlomi Babluki
	# May, 2013