Faster neural networks for iOS and macOS

Source code library for iOS and macOS with fast Metal-based implementations of MobileNet V1 and V2, as well as SSDLite and DeepLabv3+.

This library makes it easy to add MobileNet into your apps, either as a classifier, for object detection, for semantic segmentation, or as a feature extractor that’s part of a custom model.

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Core ML Helpers

Types and functions that make it a little easier to work with Core ML in Swift.

GitHub link


A neural network toolkit for Metal.

GitHub linkBlog post

Core ML demos

Metal Performance Shaders (MPS) demos