YOLOv5
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.
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.
Run Stable Diffusion on Mac natively
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.
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.
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
Everything we actually know about the Apple Neural Engine (ANE)
Visual programming language written in Swift that assembles to executable Swift code. WWDC '18 scholarship submission.
Types and functions that make it a little easier to work with Core ML in Swift.
Use AnimeGANv3 to make your own animation works, including turning photos or videos into anime.
Apple Silicon Guide. Learn all about the A16 Bionic, M1, M1 Pro, M1 Max, M1 Ultra, and M2 chips. Along with all the Devices, Operating Systems, Tools, and Software that Apple Silicon powers.
The challenge projects for Inferencing machine learning models on iOS
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