Showing 1-20 of 28 projects
YOLOv5 is a state-of-the-art computer vision model for object detection, segmentation, and classification.
Visualize neural network, deep learning, and machine learning models
YOLOv3 is a popular open-source object detection library for computer vision tasks, with support for multiple deployment targets.
A robust and highly performant video matting library for PyTorch, TensorFlow, TensorFlow.js, ONNX, and CoreML.
A high-performance gradient boosting library for machine learning tasks on CPUs and GPUs.
A Swift-based library for running Stable Diffusion AI models natively on Apple Silicon Macs.
Largest list of pre-trained machine learning models for Apple's Core ML framework for iOS 11+.
A set of tools to help developers inter-operate between different deep learning frameworks like Caffe, Keras, TensorFlow, and PyTorch.
Chinese version of CLIP for cross-modal retrieval and representation generation
Native Mac APIs for Go, previously known as MacDriver, enabling Go developers to build macOS applications.
Core ML tools for converting, editing, and validating machine learning models for deployment.
A Swift app demonstrating Core ML Stable Diffusion, a popular AI-powered image generation tool.
A library that provides insights into the internals of Apple's Neural Engine for iOS developers.
A Python library that uses AnimeGANv3 to convert photos or videos into anime-style art.
A comprehensive guide to Apple's ARM-based silicon, including M-series chips, macOS, tools, and more.
ARKit object detection with CoreML
Converted CoreML Model Zoo - a collection of pre-trained machine learning models for iOS apps.
Swift Core ML 3 implementations of popular transformer models like GPT-2, BERT for question answering.
A NSFW detector with CoreML for iOS, utilizing machine learning and Swift.
Frontier CoreML audio models for iOS and macOS apps with text-to-speech, speech-to-text, voice activity detection, and speaker diarization.
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