digitrecognition iosDeep Learning with Tensorflow/Keras: Digit recognition based on mnist-dataset and convolutional neural-network on iOS with CoreML
Stars: ✭ 23 (-97.21%)
MLEdgeDeployAutomatic Over the Air Deployment of Improved Machine Learning Models to IoT Devices for Edge Processing
Stars: ✭ 26 (-96.84%)
inceptionReal time image recognition using Core ML
Stars: ✭ 24 (-97.08%)
Vision CoreML-AppThis 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.
Stars: ✭ 15 (-98.18%)
ios-ml-dog-classifierAn iOS app that can detect a dog and determine its breed from an image or video feed.
Stars: ✭ 37 (-95.5%)
Facesvisiondemo👀 iOS11 demo application for age and gender classification of facial images.
Stars: ✭ 273 (-66.83%)
sense-iOSEnhance your iOS app with the ability to see and interact with humans using the RGB camera.
Stars: ✭ 19 (-97.69%)
IowncodeA curated collection of iOS, ML, AR resources sprinkled with some UI additions
Stars: ✭ 499 (-39.37%)
DeTeXtiOS app that detects LaTeX symbols from drawings. Built using PencilKit, SwiftUI, Combine and CoreML for iOS 14(or greater) and macOS 11(or greater).
Stars: ✭ 73 (-91.13%)
mnist-coremlSimple convolutional neural network to predict handwritten digits using Keras + CoreML for WWDC '18 scholarship [Accepted]
Stars: ✭ 45 (-94.53%)
lokiProof-of-concept of emotion-targeted content delivery using machine learning and ARKit.
Stars: ✭ 76 (-90.77%)
mlmodelzooBuild your iOS 11+ apps with the ready-to-use Core ML models below
Stars: ✭ 17 (-97.93%)
Waifu2x IosiOS Core ML implementation of waifu2x
Stars: ✭ 286 (-65.25%)
CoreML-and-Vision-with-a-pre-trained-deep-learning-SSD-modelThis 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…
Stars: ✭ 16 (-98.06%)
Keras OpenfaceKeras-OpenFace is a project converting OpenFace from Torch implementation to a Keras version
Stars: ✭ 538 (-34.63%)
iOS11-DemosCollection of samples and demos of features introduced in iOS 11
Stars: ✭ 16 (-98.06%)
keras-knnCode for the blog post Nearest Neighbors with Keras and CoreML
Stars: ✭ 25 (-96.96%)
Pinto model zooA 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]
Stars: ✭ 634 (-22.96%)
SentimentVisionDemo🌅 iOS11 demo application for visual sentiment prediction.
Stars: ✭ 34 (-95.87%)
CustomVisionMicrosoftToCoreMLDemoAppThis 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.
Stars: ✭ 25 (-96.96%)
CoreML-samplesSample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.
Stars: ✭ 38 (-95.38%)
iSpyMLJust another app that looks for NSFW😱 photos into your 'hidden' folder. 🍎 Posts to Facebook timeline is v 2.0 feature.
Stars: ✭ 19 (-97.69%)
CoreMLDemoCoreML.framework Demo App
Stars: ✭ 42 (-94.9%)
WhoAreYouFace detection and recognition with CoreML and ARKit
Stars: ✭ 91 (-88.94%)
AIBudAn experimental CreateML project for predicting playing musical key and scale in realtime
Stars: ✭ 18 (-97.81%)
ESC10-CoreMLAn open-source CoreML model trained on the ESC10 dataset
Stars: ✭ 17 (-97.93%)
Waifu2x MacWaifu2x-ios port to macOS, still in Core ML and Metal
Stars: ✭ 258 (-68.65%)
iOS-CoreML-Inceptionv3Real-time Object Recognition using Apple's CoreML 2.0 and Vision API -
Stars: ✭ 46 (-94.41%)
SimpleInceptionV3-ObjCA simple image classification test using Core ML and Inception V3 model in Objective-C
Stars: ✭ 22 (-97.33%)
BootFinderBoot 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!
Stars: ✭ 34 (-95.87%)
Facerecognition In ArkitDetects faces using the Vision-API and runs the extracted face through a CoreML-model to identiy the specific persons.
Stars: ✭ 768 (-6.68%)
YOLOv3-CoreMLYOLOv3 for iOS implemented using CoreML.
Stars: ✭ 166 (-79.83%)
ClassifierKit🤖 A suite of tools and examples for training Core ML models with Create ML.
Stars: ✭ 23 (-97.21%)
CarLens-iOSCarLens - Recognize and Collect Cars
Stars: ✭ 124 (-84.93%)
SeefoodInspired by HBO's Silicon Valley: SeeFood is an iOS app that uses CoreML to detect various dishes
Stars: ✭ 445 (-45.93%)
deepvacPyTorch Project Specification.
Stars: ✭ 507 (-38.4%)
BabelCameraFind out how to describe the things around you in another language with Core ML and the Vision framework in iOS 11! 👀
Stars: ✭ 13 (-98.42%)
AnimeGANv3Use AnimeGANv3 to make your own animation works, including turning photos or videos into anime.
Stars: ✭ 878 (+6.68%)
edge detectorHED real-time iOS edge detector.
Stars: ✭ 40 (-95.14%)
Route-Direction-in-ARAdding 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…
Stars: ✭ 32 (-96.11%)
createml-playgroundsCreate ML playgrounds for building machine learning models. For developers and data scientists.
Stars: ✭ 82 (-90.04%)
LuminaA camera designed in Swift for easily integrating CoreML models - as well as image streaming, QR/Barcode detection, and many other features
Stars: ✭ 784 (-4.74%)
MmdnnMMdnn 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.
Stars: ✭ 5,472 (+564.88%)
Neural EngineEverything we actually know about the Apple Neural Engine (ANE)
Stars: ✭ 340 (-58.69%)
GestureAIRNN(Recurrent Nerural network) model which recognize hand-gestures drawing 5 figures.
Stars: ✭ 20 (-97.57%)