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Collecting important resources for learning/building/researching in PyTorch

There's tons of good resources to learn PyTorch and alot of important functionalities that I'd like to document so I don't forget. These functionalities may be geared towards my research or just my understanding of PyTorch.

Good resources:

PyTorch Github - Official repo with great introductory code
Udacity Github - PyTorch course with projects and examples

Excellent explanations: Batch Norm by Frederik Kratzert

Gradient accumulation: super simple in torch:

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Short tutorials on useful stuff for building models when using PyTorch for the first time.

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