Top 121 coreml open source projects

The challenge projects for Inferencing machine learning models on iOS

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]

Real-Time Semantic Segmentation in Mobile device

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.

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

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

Collection of models for Core ML

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

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

Torch7 -> CoreML

Core ML demo app with Unsplash API

Everything we actually know about the Apple Neural Engine (ANE)

👨🏻‍💻 Examples of new iOS 11 APIs

iOS Core ML implementation of waifu2x

Simple project to recognize hands in realtime. 👋 Serves as an Example for building your own object recognizer.

👀 iOS11 demo application for age and gender classification of facial images.

Waifu2x-ios port to macOS, still in Core ML and Metal

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and …

Code for the blog post Nearest Neighbors with Keras and CoreML

A simple image classification test using Core ML and Inception V3 model in Objective-C

Real time image recognition using Core ML

🤖 A suite of tools and examples for training Core ML models with Create ML.

한글 손글씨 분류 모델을 만들어 iOS 애플리케이션에 적용해보았습니다 📱

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

Simple convolutional neural network to predict handwritten digits using Keras + CoreML for WWDC '18 scholarship [Accepted]

Adding the Feature "Real World Path Direction" by tapping on Map. GoogleMap will give us the direction to that location from user location then click on "ARView" & you will get the real-world path direction. Also added "Reachability" for finding path in Google map. -- Also added .mlmodel for car-detection. Initially trained the model using Convo…

Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.

Mask-RCNN for Core ML

RNN(Recurrent Nerural network) model which recognize hand-gestures drawing 5 figures.

Just another app that looks for NSFW😱 photos into your 'hidden' folder. 🍎 Posts to Facebook timeline is v 2.0 feature.

Proof-of-concept of emotion-targeted content delivery using machine learning and ARKit.

CoreML.framework Demo App

This app predicts the age of a person from the picture input using camera or photos gallery. The app uses Core ML framework of iOS for the predictions. The Vision library of CoreML is used here. The trained model fed to the system is AgeNet.

Face detection and recognition with CoreML and ARKit

This project shows how to use CoreML and Vision with a pre-trained deep learning SSD (Single Shot MultiBox Detector) model. There are many variations of SSD. The one we’re going to use is MobileNetV2 as the backbone this model also has separable convolutions for the SSD layers, also known as SSDLite. This app can find the locations of several di…

An experimental CreateML project for predicting playing musical key and scale in realtime

Deep Learning with Tensorflow/Keras: Digit recognition based on mnist-dataset and convolutional neural-network on iOS with CoreML

An open-source CoreML model trained on the ESC10 dataset

Collection of samples and demos of features introduced in iOS 11

🕶 Classify images offline using Watson Visual Recognition and Core ML.

Enhance your iOS app with the ability to see and interact with humans using the RGB camera.

Real-time Object Recognition using Apple's CoreML 2.0 and Vision API -

Element detection with Vision Framework and CoreML

Boot Finder demonstrates the power of using on-device machine learning models to delight users in new and innovative ways. It's private too! Because this model runs on-device, customer photos never leave the phone!

Automatic Over the Air Deployment of Improved Machine Learning Models to IoT Devices for Edge Processing

YOLOv3 for iOS implemented using CoreML.

🌅 iOS11 demo application for visual sentiment prediction.

CarLens - Recognize and Collect Cars

iOS app that detects LaTeX symbols from drawings. Built using PencilKit, SwiftUI, Combine and CoreML for iOS 14(or greater) and macOS 11(or greater).

PyTorch Project Specification.

This app recognises 3 hand signs - fist, high five and victory hand [ rock, paper, scissors basically :) ] with live feed camera. It uses a HandSigns.mlmodel which has been trained using Custom Vision from Microsoft.

Use AnimeGANv3 to make your own animation works, including turning photos or videos into anime.

An iOS app that can detect a dog and determine its breed from an image or video feed.

HED real-time iOS edge detector.

The example of running Depth Prediction using Core ML

Create ML playgrounds for building machine learning models. For developers and data scientists.

Build your iOS 11+ apps with the ready-to-use Core ML models below

A Big Awesome List CoreML Models.

The challenge projects for Inferencing machine learning models on iOS