appcoda / Coremlimage

A simple demo for Core ML

Inspired by HBO's Silicon Valley: SeeFood is an iOS app that uses CoreML to detect various dishes

👨🏻‍💻 Examples of new iOS 11 APIs

A simple demo for Core ML and Style Transfer

Collection of samples and demos of features introduced in iOS 11

Find out how to describe the things around you in another language with Core ML and the Vision framework in iOS 11! 👀

Core ML demo app with Unsplash API

Xcode template for VIPER Architecture written in Swift 4

Framework for automatic mock generation. Adds a set of handy methods, simplifying testing. One of the best and most complete solutions, including generics support and much more.

A curated collection of iOS, ML, AR resources sprinkled with some UI additions

Torch7 -> CoreML

Keras-OpenFace is a project converting OpenFace from Torch implementation to a Keras version

Detects faces using the Vision-API and runs the extracted face through a CoreML-model to identiy the specific persons.

Collection of models for Core ML

Human Activity Recognition (HAR) with Keras and CoreML

A troll app to check if an object seen by your camera is a lion. Uses iOS CoreML, Vision APIs

Build an OCR for iOS apps

Samples and Tools for Windows ML.

A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]

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