coreml-models

There are 56 repositories under coreml-models topic.

  • likedan/Awesome-CoreML-Models

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

    Language:Python6.8k25624500

  • OFA-Sys/Chinese-CLIP

    Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

    Language:Jupyter Notebook5.5k38369518

  • SwiftBrain/awesome-CoreML-models

    Collection of models for Core ML

    58132560

  • onnx/onnx-coreml

    ONNX to Core ML Converter

    Language:Python4053317080

  • cocoa-ai/FacesVisionDemo

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

    Language:Swift32412547

  • eugenebokhan/awesome-ml

    Discover, download, compile & launch different image processing & style transfer CoreML models on iOS.

    Language:C++22123136

  • buzsh/SwiftDiffusion

    SwiftUI Stable Diffusion implementation using CoreML and PyTorch

    Language:Swift171546

  • ph1ps/Food101-CoreML

    A CoreML model which classifies images of food

    Language:Swift1507232

  • juanmorillios/List-CoreML-Models

    A Big Awesome List CoreML Models.

    14311012
  • SwiftSemanticSearch

    ashvardanian/SwiftSemanticSearch

    Real-time on-device text-to-image and image-to-image Semantic Search with video stream camera capture using USearch & UForm AI Swift SDKs for Apple devices 🍏

    Language:Swift1315411

  • cocoa-ai/SentimentCoreMLDemo

    😃 iOS11 demo application for sentiment polarity analysis.

    Language:Swift1246221

  • ph1ps/MNIST-CoreML

    Predict handwritten digits with CoreML

    Language:Python693110
  • SD-to-CoreML

    Zabriskije/SD-to-CoreML

    Shell script to convert Stable Diffusion 1.5 models to Core ML

    Language:Shell53326

  • cocoa-ai/NamesCoreMLDemo

    🏷 iOS11 demo application for predicting gender from first names.

    Language:Swift36116

  • cocoa-ai/SentimentVisionDemo

    🌅 iOS11 demo application for visual sentiment prediction.

    Language:Swift363011

  • VamshiIITBHU14/VKSentimentAnalysis

    This project is a demo on using CoreML framework for sentiment analysis of text. .mlmodel was developed from Scikit-learn Pipeline using coremltools python package. More details here : https://developer.apple.com/documentation/coreml/converting_trained_models_to_core_ml

    Language:Swift3311

  • JustinFincher/FastDepth-CoreML

    a CoreML version of FastDepth

    Language:Swift29219

  • cafielo/MNISTKit

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

    Language:Swift22541

  • eelretep/mlmodelzoo

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

    18461

  • IlijaMihajlovic/CoreML-and-Vision-with-a-pre-trained-deep-learning-SSD-model

    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 different types of objects in the image. The detections are described by bounding boxes, and for each bounding box, the model also predicts a class.

    Language:Swift171122

  • Norod/CoreML-StyleTransfer

    A few stylization coreML models that I've trained with CreateML

    Language:Python14210

  • gazolla/Photo2Cartoon

    Very simple app that uses CoreML model to transform image to anime style image.

    Language:Swift13103

  • ashislaha/ARDemo

    Create an AR Project with ARKit. Explored Tracking, Plane Detection, Hit Testing, Light Estimation, SCNNode Rendering etc.

    Language:Swift12105
  • CoreML-VAEs

    Zabriskije/CoreML-VAEs

    Ready to use Core ML VAEs in MLMODELC format

    12100

  • 0xPr0xy/MobileNet-CoreML

    MobileNet in CoreML with Vision implemented for iPhone iOS in Swift

    Language:Swift11303

  • IlijaMihajlovic/Core-ML-And-Vision-Object-Classifier-Lightweight-Version

    Core ML and Vision object classifier with a lightweight trained model. The model is trained and tested with Create ML straight from Xcode Playgrounds with the dataset I provided.

    Language:Swift110015

  • tinahaibodi/weScan

    iOS AR application that helps engineers identify hardware with object recognition. Grand Prize Winner and Best Neural Network @ HackWescam 2018.

    Language:Swift7101

  • Dr-Groot/ObjectDetection_CoreML-Swift

    Real time camera object detection with Machine Learning in swift. Basic introduction to Core ML, Vision and ARKit.

    Language:Swift6200

  • hskang9/OCRProject

    an end-to-end tutorial for OCR recognition using CNN

    Language:Jupyter Notebook6002

  • powermobileweb/ARTetris---SceneKit

    Augmented Reality Tetris made with ARKit and SceneKit

    Language:Swift5102

  • DarkBlueArrowED/MedHub

    Most developing countries have a serious shortage of qualified medical personnel. Particularly of qualified pathologists, which leads to long delays in the testing and the diagnosis of diseases. This in its own leads to needless suffering and unnecessary deaths. A review of literature on the field of ML in medical science shows that ML can partially contribute to correcting this problem. These have been specially designed to allow ML models to work with mobile and portable devices such as the iPhones, iPads and the android equivalents. The aim of this dissertation is to show the potential and possibility to develop the next stage of software that can be used in the medical field. The use of ML will reduce the need for other resources such as external databases and other heavy tools. The applications proposed in this project could allow medical professionals such as “Doctors without borders” to test and diagnose patients in field hospitals without having to carry a lot of equipment or have to send blood samples over long distances with related delays and the risk of contamination. The applications could also be used in developed countries where medical facilities are under pressure. The applications could provide an indication of a disease/illness, saving time and resources.

    Language:Swift4101

  • prabakarviji/picture-query

    A SwiftUI app using CoreML & Vision to extract text content from the images and querying from the context. Underlying it uses Google's BERT model which converted into CoreML model

    Language:Swift4100

  • rishabh01solanki/PixeLearner

    Combining the power of MobileNetV2 with the privacy of on-device learning. Benefit from real-time updates and efficient image processing, all while ensuring your data remains securely on your device. Experience precision, speed, and trust with PixeLearner.

    Language:Swift4100

  • freedomtan/coreml_models_for_mlperf

    Converting models used by MLPerf Mobile working group to Core ML format

    Language:Python3201

  • michalnowak061/ImageClassifier-iOS-App

    This project is simple iOS app using CoreML framework to predict object class on the photo

    Language:Swift3102

  • abcde12321/Markon

    MarkOn is an iOS and macOS Photos extension and helper app that includes a variety of interesting Core Image filters (CIFilters)).

    Language:Swift2100