Largest list of models for Core ML (for iOS 11+)

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

A demo of creating your own CoreML model

Real-Time Semantic Segmentation in Mobile device

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

Human Activity Recognition (HAR) with Keras and CoreML

Collection of models for Core ML

A simple demo for Core ML and Style Transfer

A camera designed in Swift for easily integrating CoreML models - as well as image streaming, QR/Barcode detection, and many other features

An iOS swift app that detects objects using machine learning (CoreML, Vision)

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]

The challenge projects for Inferencing machine learning models on iOS

Deep learning installed Shape Detector using Keras and CoreML 📱

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

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

Build an OCR for iOS apps

🏷 iOS11 demo application for predicting gender from first names.

The better way to deal with MNIST model and Core ML in iOS

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