ShivendraAgrawal’s gists

ShivendraAgrawal / single-layer-nn.py

Created August 16, 2016 11:30

A single layer neural network script using numpy performed on iris set from scikit-learn

	import numpy as np
	from sklearn import datasets

	# sigmoid function
	def activation(x,derivative=False):
	if(derivative==True):
	return x*(1-x)
	return 1/(1+np.exp(-x))

	iris = datasets.load_iris()

ShivendraAgrawal / Scikit-Learn-snippets.py

Last active December 12, 2016 18:31

Scikit-Learn sample snippets for copy-paste

	SOURCE https://blog.datadive.net/selecting-good-features-part-ii-linear-models-and-regularization/

	# Correlation
	import numpy as np
	from scipy.stats import pearsonr
	np.random.seed(0)
	size = 300
	x = np.random.normal(0, 1, size)
	print "Lower noise", pearsonr(x, x + np.random.normal(0, 1, size))
	print "Higher noise", pearsonr(x, x + np.random.normal(0, 10, size))

ShivendraAgrawal / 0_reuse_code.js

Created February 15, 2016 10:13

Here are some things you can do with Gists in GistBox.

	// Use Gists to store code you would like to remember later on
	console.log(window); // log the "window" object to the console

ShivendraAgrawal / whiteboard.sh

Created April 30, 2014 05:24

	#!/bin/bash
	convert "$1" \
	-morphology Convolve DoG:15,100,0 \
	-negate -normalize -blur 0x1 \
	-channel RGB -level 60%,91%,0.1\ -colorspace Gray \
	"$2"

ShivendraAgrawal / greenboard.sh

Created April 30, 2014 05:21

	#!/bin/bash
	convert "$1" \
	-morphology EdgeIn Octagon \
	-negate -normalize -blur 0x2 \
	-channel RGB -level 50%,81%,0.1 \ -colorspace Gray \
	"$2"

ShivendraAgrawal / automatic_select.m

Created April 30, 2014 05:19

	function [] = automatic_select()

	count = 0;
	imageFiles = dir('*.jpg');
	nFiles = length(imageFiles);
	white_counts = zeros(nFiles);

	for i = 1 : nFiles
	count = count + 1;
	currentFileName = imageFiles(i).name;

ShivendraAgrawal / shivendra.m

Created April 30, 2014 05:18

	function [n2] = shivendra( image )
	%UNTITLED2 Summary of this function goes here
	% Detailed explanation goes here
	rgb = imread(image) ;

	gray = rgb2gray(rgb) ;
	%(gray,'gray.jpg');
	%imwrite(gray>180,'undilated.jpg');

	%filteredgray = medfilt2(gray,[7 7]);

ShivendraAgrawal / server.py

Created April 30, 2014 05:16

	import os
	from os import listdir
	from os.path import isfile, join
	# We'll render HTML templates and access data sent by POST
	# using the request object from flask. Redirect and url_for
	# will be used to redirect the user once the upload is done
	# and send_from_directory will help us to send/show on the
	# browser the file that the user just uploaded
	from flask import Flask, render_template, request, redirect, url_for, send_from_directory
	from werkzeug import secure_filename

ShivendraAgrawal / index2.html

Created April 30, 2014 05:15

	!DOCTYPE HTML>
	<html>
	<body>

	{% for v in onlyfiles %}
	<img src="{{ url_for('static', filename = v) }}" width="1050" height="300">
	{% endfor %}

	</body>
	</html>

ShivendraAgrawal / index.html

Created April 30, 2014 05:11

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<link href="//netdna.bootstrapcdn.com/bootstrap/3.0.0/css/bootstrap.min.css"
	rel="stylesheet">
	</head>
	<body>
	<div class="container">
	<div class="header">
	<h3 class="text-muted">How To Upload a File</h3>

Shivendra Agrawal ShivendraAgrawal