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<!DOCTYPE html>
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<h1>Welcome to MiraPy’s documentation!<a class="headerlink" href="#welcome-to-mirapy-s-documentation" title="Permalink to this headline">¶</a></h1>
<p>MiraPy is a Python package for Deep Learning in Astronomy. It is built using
Keras for developing ML models to run on CPU and GPU seamlessly. The
aim is to make applying machine learning techniques on astronomical data easy
for astronomers, researchers and students.</p>
<div class="section" id="applications">
<h2>Applications<a class="headerlink" href="#applications" title="Permalink to this headline">¶</a></h2>
<p>MiraPy can be used for problem solving using ML techniques and will continue to grow to tackle new problems in Astronomy. Following are some of the experiments that you can perform right now:</p>
<ul class="simple">
<li><p>Classification of X-Ray Binaries using neural network</p></li>
<li><p>Astronomical Image Reconstruction using Autoencoder</p></li>
<li><p>Classification of the first catalog of variable stars by ATLAS</p></li>
<li><p>HTRU1 Pulsar Dataset Image Classification using Convolutional Neural Network</p></li>
<li><p>Variable star Classification using Recurrent Neural Network (RNN)</p></li>
<li><p>2D visualization of feature sets using Principal Component Analysis (PCA)</p></li>
<li><p>Curve Fitting using Autograd (basic implementation)</p></li>
</ul>
<p>There are more projects that we will add soon and some of them are as following:</p>
<ul class="simple">
<li><p>Feature Engineering (Selection, Reduction and Visualization)</p></li>
<li><p>Classification of different states of GRS1905+105 X-Ray Binaries using Recurrent Neural Network (RNN)</p></li>
<li><p>Feature extraction from Images using Autoencoders and its applications in Astronomy</p></li>
</ul>
<p>You can find the applications MiraPy in our <a class="reference external" href="https://github.com/mirapy-org/tutorials">tutorial</a> repository.</p>
<p>In future, MiraPy will be able to do more and in better ways and we need your suggestions! Tell us what you would like to see as a part of this package on <a class="reference external" href="https://join.slack.com/t/mirapy/shared_invite/enQtNjEyNDQwNTI2NDY3LTE3ZmI3M2EyMjdkZWU4NTE2NjkxZjdhYWE4ZjUyODY0NzllNzRlMzZhNThhNWRiMjk4MjNhYWQ3NjA3YjJiNGY">Slack</a>.</p>
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<li class="toctree-l1"><a class="reference internal" href="README.html#applications">Applications</a></li>
<li class="toctree-l1"><a class="reference internal" href="README.html#installation">Installation</a></li>
<li class="toctree-l1"><a class="reference internal" href="README.html#contributing">Contributing</a></li>
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<li class="toctree-l1"><a class="reference internal" href="README.html#license">License</a></li>
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<li class="toctree-l1"><a class="reference internal" href="mirapy.html">MiraPy API</a></li>
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