Highly optimized artificial intelligence and machine learning library.
Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
A neural network toolkit for Metal.
A toolbox of AI modules: Graphs/Trees, Support Vector Machines, Neural Networks, PCA, K-Means, Genetic Algorithms.
Sample application using Vision Framework and Core ML.
The MobileNet neural network using Apple's new CoreML framework.
Swift Matrix and Machine Learning Library.
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✂️ Crop faces, inside of your image, with iOS 11 Vision API.
Inspired by HBO's Silicon Valley: SeeFood is an iOS app that uses CoreML to detect various dishes.
Tiny YOLO for iOS implemented using CoreML but also using the new MPS graph API.
This app takes a random photo from Unsplash and makes predictions about what is inside with Core ML framework using InceptionV3 model.
A neural network playground, with no third party dependencies.
Types and functions that make it a little easier to work with Core ML.
Optical Character Recognition for iOS & macOS.
An example of use a Vision framework for face landmarks detection in iOS 11.
Library to process images using COREML with a set of pre trained machine learning models and convert them to Art style.
A Show And Tell implementation for iOS 11.0 based on CoreML.
iOS11 demo application for flower classification.
Easily use ARKit to detect facial gestures. FaceTrigger is a simple to use class that hides the details of using ARKit's ARSCNView to recognize facial gestures.
Genetic Programming Framework.
Neural network to predict emoji from drawing.