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<!doctype html>
<html>
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="chrome=1">
<title>Ipython-notebooks by bikz05</title>
<link rel="stylesheet" href="stylesheets/styles.css">
<link rel="stylesheet" href="stylesheets/github-dark.css">
<script src="javascripts/scale.fix.js"></script>
<meta name="viewport" content="width=device-width, initial-scale=1, user-scalable=no">
<!--[if lt IE 9]>
<script src="//html5shiv.googlecode.com/svn/trunk/html5.js"></script>
<![endif]-->
</head>
<body>
<div class="wrapper">
<header>
<h1>Ipython-notebooks</h1>
<p>This repository contains IPython notebooks that I have written.</p>
<p class="view"><a href="https://github.com/bikz05/ipython-notebooks">View the Project on GitHub <small>bikz05/ipython-notebooks</small></a></p>
<ul>
<li><a href="https://github.com/bikz05/ipython-notebooks/zipball/master">Download <strong>ZIP File</strong></a></li>
<li><a href="https://github.com/bikz05/ipython-notebooks/tarball/master">Download <strong>TAR Ball</strong></a></li>
<li><a href="https://github.com/bikz05/ipython-notebooks">View On <strong>GitHub</strong></a></li>
</ul>
</header>
<section>
<h1>
<a id="ipython-notebooks" class="anchor" href="#ipython-notebooks" aria-hidden="true"><span class="octicon octicon-link"></span></a>ipython-notebooks</h1>
<p>This repository contains code of Ipython notebooks which I have written.</p>
<p>NOTE - <a href="https://github.com/blog/1995-github-jupyter-notebooks-3">From May 7, 2015 IPython notebooks (.ipynb) files render directly on GitHub. There is no need to use nbviewer to view these notebooks. Simply use GitHub to view them.</a></p>
<h2>
<a id="list-of-ipython-notebooks" class="anchor" href="#list-of-ipython-notebooks" aria-hidden="true"><span class="octicon octicon-link"></span></a>List of IPython notebooks</h2>
<h3>
<a id="computer-vision" class="anchor" href="#computer-vision" aria-hidden="true"><span class="octicon octicon-link"></span></a>Computer Vision</h3>
<ol>
<li><a href="computer-vision/face-detection.ipynb">Face Detection</a></li>
<li><a href="computer-vision/caveat-hsv-thresholding.ipynb">HSV Thresholding</a></li>
<li><a href="computer-vision/adaptive-thresholding.ipynb">Adaptive Thresholding</a></li>
<li><a href="computer-vision/connected-components-using-rgb-values.ipynb">Connected Components using RGB values</a></li>
<li><a href="computer-vision/template-matching.ipynb">Template Matching</a></li>
<li><a href="computer-vision/local-binary-pattern.ipynb">Texture Matching using Uniform Local Binary Patterns</a></li>
<li><a href="computer-vision/displaying-video-in-ipython-notebook.ipynb">Displaying Video in IPython Notebook</a></li>
</ol>
<h3>
<a id="machine-learning" class="anchor" href="#machine-learning" aria-hidden="true"><span class="octicon octicon-link"></span></a>Machine Learning</h3>
<ol>
<li><a href="machine-learning/digit_recognition_using_nolearn.ipynb">Digit Recognition using <code>nolearn</code></a></li>
<li><a href="machine-learning/sklearn-cross-validation.ipynb">Cross validation in <code>scikit-learn</code></a></li>
<li><a href="machine-learning/sklearn-pipelining.ipynb">Pipelining is <code>scikit-learn</code></a></li>
<li><a href="machine-learning/linear-regression-using-theano.ipynb">Linear Regression using <code>Theano</code> from scratch</a></li>
<li><a href="machine-learning/logistic-regression-using-theano.ipynb">Logistic Regression using <code>Theano</code> from scratch</a></li>
<li><a href="machine-learning/ann-from-scratch.ipynb">Artifical Neutal Network from
scratch</a></li>
</ol>
</section>
</div>
<footer>
<p>Project maintained by <a href="https://github.com/bikz05">bikz05</a></p>
<p>Hosted on GitHub Pages — Theme by <a href="https://github.com/orderedlist">orderedlist</a></p>
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