Coreml
Showing 18 of 18 projects
A state-of-the-art PyTorch-based computer vision model for object detection, segmentation, and classification.
A PyTorch implementation of YOLOv3 for real-time object detection, supporting export to ONNX, CoreML, and TFLite.
A curated list of awesome ARKit projects, tutorials, and resources for iOS augmented reality development.
A curated collection of machine learning models in Core ML format for iOS, macOS, tvOS, and watchOS developers.
A curated collection of machine learning models in Core ML format for iOS, macOS, tvOS, and watchOS developers.
A comprehensive toolset for converting, visualizing, and managing deep learning models across multiple frameworks like TensorFlow, PyTorch, and Caffe.
A Swift SDK for fully local, low-latency audio AI on Apple devices, including transcription, text-to-speech, voice activity detection, and speaker diarization.
A lightweight CoreML model for detecting NSFW content in images, specifically trained to distinguish between suggestive and explicit content.
A Swift camera framework for iOS that simplifies AVFoundation usage and integrates CoreML models for real-time object recognition.
A curated collection of open-source machine learning models compatible with Apple's Core ML framework.
Convert Torch7 neural network models to Apple CoreML format for deployment on iOS/macOS devices.
An iOS library that applies artistic styles to images using Core ML and pre-trained neural style transfer models.
A handwriting gesture recognizer for tvOS that enables number input using the Siri Remote touchpad.
A Swift library for programmatically creating and exporting CoreML models using a Swift-native DSL and API.
A curated list of student submissions for the WWDC 2025 Swift Student Challenge, showcasing innovative apps built with Apple technologies.
Interactive Swift Playgrounds for iPad demonstrating Microsoft Cognitive Services APIs and CoreML through fun coding scenarios.
A collection of CoreML examples for Swift Playgrounds on iPadOS demonstrating object recognition and detection models.
Sample code demonstrating Core ML integration with ResNet50 and custom models converted via coremltools.
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