YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Visualizer for neural network, deep learning and machine learning models

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+)

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

Native Mac APIs for Go. Soon to be renamed DarwinKit!

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 …

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

👨🏻‍💻 Examples of new iOS 11 APIs

A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

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

Everything we actually know about the Apple Neural Engine (ANE)

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.

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

A NSFW (aka porn) detector with CoreML

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.

Code examples for ARKit.

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

Visual programming language written in Swift that assembles to executable Swift code. WWDC '18 scholarship submission.