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*[Converting SuperResolution model from PyTorch to Caffe2 and deploying on mobile device](tutorials/PytorchCaffe2SuperResolution.ipynb)
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*[Transferring SqueezeNet from PyTorch to Caffe2 and to Android app](tutorials/PytorchCaffe2MobileSqueezeNet.ipynb)
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*[Serving PyTorch Models on AWS Lambda with Caffe2 & ONNX](https://machinelearnings.co/serving-pytorch-models-on-aws-lambda-with-caffe2-onnx-7b096806cfac)
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