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srush committed Dec 6, 2021
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Expand Up @@ -10,9 +10,9 @@ 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.
course 'Machine Learning Engineering' at Cornell Tech.

To get started, first read `setup` and `contributing` to
To get started, first read [setup](http:https://minitorch.github.io/setup) 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
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