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README.md

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 # minitorch
 
 
+<img src="http:https://minitorch.github.io/_images/minitorch.svg">
+
+MiniTorch (https://github.com/minitorch/) is a *diy teaching library*
+for machine learning engineers who wish to learn about the internal
+concepts underlying deep learning systems. It is a pure Python
+re-implementation of the `Torch <http:https://www.pytorch.org>`_ API
+designed to be simple, easy-to-read, tested, and incremental. The
+final library can run Torch code. The project was developed for the
+course `Machine Learning Engineering` at Cornell Tech.
+
+To get started, first read :doc:`setup` and :doc:`contributing` to
+build your workspace. Then follow through each of the modules to the
+right. Minimal computational resources are required.
+Module starting code is available on GitHub, and each proceeds
+incrementally from past modules.
+
+Enjoy!
+
+Sasha Rush (`@srush_nlp <https://twitter.com/srush_nlp>`_) with Ge Gao and Anton Abilov