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	| Home | <a class href="blog.html">Blog</a> | <a href="get_ray.html">Get Ray!</a> |
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   <b>Ray provides a simple, universal API for building distributed applications.</b>
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	Ray is packaged with the following libraries for accelerating machine learning workloads:
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<ul>
	<li><em>Tune</em>: Scalable Hyperparameter Tuning</li>
	<li><em>RLlib</em>: Scalable Reinforcement Learning</li>
	<li><em>Distributed Training</em></li>
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	To get started, visit the Ray Project <a href="https://ray.io">web site</a>, <a href="https://docs.ray.io/en/master/">documentation</a>, <a href="https://github.com/ray-project/">GitHub project</a>, or <a href="https://github.com/ray-project/tutorial">Tutorials</a>.
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