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jupyter.html
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<!DOCTYPE HTML>
<html>
<head>
<title> </title>
<meta http-equiv="content-type" content="text/html; charset=utf-8" />
<meta name="description" content="" />
<meta name="keywords" content="" />
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</head>
<body>
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</head>
<body class="landing">
<i class="fab fa-github-square"></i>
<i class="fab fa-blender"></i>
<!-- Header -->
<header id="header" class="alt skel-layers-fixed">
<h1><a href="index.html">ML & Robotics <span>by Airbus Defense & Space</span></a></h1>
<nav id="nav">
<ul>
<li><a href="index.html">Home</a></li>
<li>
<a href="" class="icon fa-angle-down">Tools</a>
<ul>
<li><a href="simulators.html">Robotic-Simulators</a></li>
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<li><a href="jupyter.html">Jupyter-Notebook</a></li>
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<li><a href="http://localhost:10080" target="_blank">Gitlab</a></li>
</ul>
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</ul>
</nav>
</header>
<!-- Main -->
<section id="main" class="wrapper style1">
<header class="major">
<h2>Start with your Jupyter-Notebook</h2>
<p>Choose between various backend stacks to develop in the environment as you need it</p>
</header>
<div class="container">
<div class="row">
<div class="4u 12u$(3)">
<!-- Sidebar -->
<section id="sidebar">
<section>
<h3>Machine Learning API</h3>
<p>In these Notebooks the most current machine learning libraries are included. Click on the names to learn more about them! </br>Also provided in these links are tutorials and Getting Started pages.
<ul>
<li><a href="https://www.tensorflow.org/overview" target="_blank">Tensorflow</a></li>
<li><a href="https://keras.io/#getting-started-30-seconds-to-keras" target="_blank">Keras</a></li>
<li><a href="https://caffe.berkeleyvision.org/" target="_blank">Caffe</a></li>
<li><a href="https://pytorch.org/tutorials/" target="_blank">pyTorch</a></li>
<li><a href="https://scikit-learn.org/stable/tutorial/basic/tutorial.html" target="_blank" >Scikit-Learn</a></li>
<li><a href="https://docs.opencv.org/4.1.0/" target="_blank">openCV</a></li>
<li><a href="https://gym.openai.com/docs/#environments" target="_blank" >gym</a></li>
</ul>
<h3>Azure-SDK</h3>
Enable the power of your Azure AI-Service-Stack by using the Azure-SDK in your Notebook!</br>
Learn more in the following pages:
<ul>
<li><a href="https://docs.microsoft.com/de-de/azure/machine-learning/service/quickstart-run-local-notebook">Quickstart with Azure in Jupyter Notebook</a></li>
<li><a href="https://docs.microsoft.com/en-us/azure/cognitive-services/Computer-vision/quickstarts-sdk/python-sdk">Computer Vision with Azure</a></li>
</ul>
</p>
</section>
</section>
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<!-- Content -->
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<article class="box post">
<h3>GPU-Power</h3>
<p>Start a Jupyter notebook with a high class GPU to solve Machine Learning problems in short amount of time. </br>
</p>
<footer>
<ul class="actions">
<li><a href="http://localhost:8889" target="_blank" class="button">Start</a></li>
</ul>
</footer>
</article>
</div>
<div class="8u 10u 12u$(2)">
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<h3>Modell-Zoo</h3>
<p align="left">Take the advantage to use already implemented neural network and pretrained weights.</br>
Every DeepLearning Library integrates them in their own modelzoo.</br>
Have a look at some to get an idea of what is possible with DeepLearning:
<ul>
<li><a href="https://github.com/BVLC/caffe/wiki/Model-Zoo"> Caffe2 Modelzoo</a></li>
<li><a href="https://keras.io/applications/">Applications integrated in Keras</a></li>
<li><a href="https://pytorch.org/docs/stable/torchvision/models.html">pyTorch Modelzoo</a></li>
<li><a href="https://www.kaggle.com/c/intel-mobileodt-cervical-cancer-screening/discussion/30134">Official Kaggle thread for pretrained models</a></li>
</ul>
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</article>
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