PyTorch iOS examples
A list of iOS apps built on the powerful PyTorch Mobile platform.
HelloWorld is a simple image classification application that demonstrates how to use PyTorch C++ libraries on iOS. The code is written in Swift and uses Objective-C as a bridge.
The PyTorch demo app is a full-fledged app that contains two showcases. A camera app that runs a quantized model to classifiy images in real time. And a text-based app that uses a text classification model to predict the topic from the input text.
Neural Machine Translation demonstrates how to convert a sequence-to-sequence neural machine translation model trained with the code in the PyTorch NMT tutorial and use the model in an iOS app to do French-English translation.
Question Answering demonstrates how to convert a powerful transformer QA model and use the model in an iOS app to answer questions about PyTorch Mobile and more.
Vision Transformer demonstrates how to use Facebook's latest Vision Transformer DeiT model to do image classification, and how convert another Vision Transformer model and use it in an iOS app to perform handwritten digit recognition.
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