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Originally this started as an introduction to PyTorch for my Students, due to high interest, I plan to implement some more basic PyTorch things for the ones interested. Very open to questions, ideas on what to cover and corrections on the mistakes I have definitely made :)

Current todos: Introduction to ONNX, maybe some introduction to quantization, ResNet, maybe some GANs/generative modelling and more on time series covered in the RNN notebook

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