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.
✂️ Crop faces, inside of your image, with iOS 11 Vision API.
Tiny YOLO for iOS implemented using CoreML but also using the new MPS graph API.
Inspired by HBO's Silicon Valley: SeeFood is an iOS app that uses CoreML to detect various dishes.
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.
Optical Character Recognition for iOS & macOS.
Types and functions that make it a little easier to work with Core ML.
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.
Detect and crop faces, barcodes and texts in image.