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 Ray
 ===
 
+.. raw:: html
+
+  <embed>
+    <a href="https://github.com/ray-project/ray"><img style="position: absolute; top: 0; right: 0; border: 0;" src="https://camo.githubusercontent.com/365986a132ccd6a44c23a9169022c0b5c890c387/68747470733a2f2f73332e616d617a6f6e6177732e636f6d2f6769746875622f726962626f6e732f666f726b6d655f72696768745f7265645f6161303030302e706e67" alt="Fork me on GitHub" data-canonical-src="https://s3.amazonaws.com/github/ribbons/forkme_right_red_aa0000.png"></a>
+  </embed>
+
 *Ray is a flexible, high-performance distributed execution framework.*
 
+View the `codebase on GitHub`_.
+
+.. _`codebase on GitHub`: https://github.com/ray-project/ray
+
 Ray comes with libraries that accelerate deep learning and reinforcement learning development:
 
 - `Ray.tune`_: Hyperparameter Optimization Framework