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

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

Collection of models for Core ML

ONNX to Core ML Converter

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

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

Stable Diffusion implementation using CoreML, PyTorch and SwiftUI

A CoreML model which classifies images of food

A Big Awesome List CoreML Models.

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 🍏

😃 iOS11 demo application for sentiment polarity analysis.

Predict handwritten digits with CoreML

Shell script to convert Stable Diffusion 1.5 models to Core ML

Focuses on detecting spam messages in SMS text using Natural Language Processing (NLP) and Machine Learning techniques. It leverages text preprocessing, feature extraction, and classification algorithms to accurately predict whether a message is Spam or Ham (Not Spam).

Implements a machine learning-based SMS spam detection system. It classifies incoming text messages as Spam or Ham (Not Spam) using Natural Language Processing (NLP) techniques and supervised learning algorithms.

🌅 iOS11 demo application for visual sentiment prediction.

🏷 iOS11 demo application for predicting gender from first names.

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

a CoreML version of FastDepth

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

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.

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

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

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

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

Ready to use Core ML VAEs in MLMODELC format

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.

MobileNet in CoreML with Vision implemented for iPhone iOS in Swift

A lightweight macOS app built with SwiftUI that captures and analyzes HTTP/HTTPS traffic in real time

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