coreml

Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.

Visualizer for neural network, deep learning and machine learning models

PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Run Stable Diffusion on Mac natively

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

Native Mac APIs for Go. Previously known as MacDriver

Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.

👨🏻‍💻 Examples of new iOS 11 APIs

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

Frontier CoreML audio models in your apps — text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.

Use AnimeGANv3 to make your own animation works, including turning photos or videos into anime.

Apple Silicon Guide. Learn all about the A17 Pro, A16 Bionic, R1, M1-series, M2-series, and M3-series chips. Along with all the Devices, Operating Systems, Tools, Gaming, and Software that Apple Silicon powers.

Core ML model zoo for iOS/macOS — PyTorch models converted to ready-to-use .mlpackage, each with a conversion script and SwiftUI sample app. Sibling repos cover Apple's Core AI framework (iOS/macOS 27) and on-device LLMs.

Simple project to detect objects and display 3D labels above them in AR. This serves as a basic Template for an ARKit project to use CoreML.

A NSFW (aka porn) detector with CoreML

Code examples for ARKit.

Types and functions that make it a little easier to work with Core ML in Swift.

Optimized Whisper models for streaming and on-device use