coreml-models

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

🏷 iOS11 demo application for predicting gender from first names.

🌅 iOS11 demo application for visual sentiment prediction.

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

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

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.