Detection Transformer (DETR) for panoptic semantic segmentation. Original Paper: Nicolas Carion and Francisco Massa and Gabriel Synnaeve and Nicolas Usunier and Alexander Kirillov and Sergey Zagoruyko (End-to-End Object Detection with Transformers, https://hf.co/papers/2005.12872)

Custom implementation of Apple Intelligence features

Tool for visual profiling Core ML models, compatible with both package and compiled versions, including reasons for unsupported operations on the Neural Engine

Converted CoreML Model Zoo.

📚 Curated list of articles, tutorials and repos that may help you dig a little bit deeper into iOS [and Apple Platforms].

A collection of demo apps on iOS

Classifying Images with Vision, Core ML and SwiftUI

iOS App that guesses what you have drawn. It is creating using SwiftUI interface and CoreML. Model is trained using Google's Quick Draw Dataset

A simple, NLP App about sentiments on a string. (Twitter) Leveraging CoreML.

[Capstone Design 2] Team Capstone Design Project. (Prof. 고석주)

black & white photo colorizer

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

Usage of CoreML (Machine Learning) & Vision Libraries

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.

100 Days of SwiftUI Challenge

Open Source Core ML project capable of identifying various types of food. Cloning this project will result in build failures as certain files such as the model itself are too large to upload.

SwiftUI iOS application that uses AI to recognize historical buildings and museums of Gdańsk.

2nd Challenge - Mac CLI App

An app that allows for blind users to detect objects using machine learning.

CoreML-Detect-Objects-From-Image-Swift-ios