
Apple Core ML
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Apple Machine Learning Journal
TensorFlow Lite
Roboflow Universe
HandL
Google CLOUD AUTOML
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Https://developer.apple.com/machine-learning/ Key pieces that sit naturally on macOS: - *Core ML* โ runs optimized ML models on Apple silicon and Intel Macs, from image recognition to language models:. - Source: Hacker News / 9 months ago
Overview and entry point: Https://developer.apple.com/machine-learning/. - Source: dev.to / 9 months ago
On the machine learning side of AI, they have CoreML. You can drag-and-drop images into Xcode to train an image classifier. And run the models on device, so if solar flares destroy the cell phone network and terrorists bomb all the data centers, your phone could still tell you if it's a hot dog or not. https://developer.apple.com/machine-learning/ https://developer.apple.com/machine-learning/core-ml/... - Source: Hacker News / over 2 years ago
Apple has actually created ML chipsets, so AI can be executed natively, on-device. https://developer.apple.com/machine-learning/. - Source: Hacker News / over 2 years ago
For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: over 3 years ago
Amazon Machine Learning - Machine learning made easy for developers of any skill level
Apple Machine Learning Journal - A blog written by Apple engineers
TensorFlow Lite - Low-latency inference of on-device ML models
Roboflow Universe - You no longer need to collect and label images or train a ML model to add computer vision to your project.
HandL - Label data for machine learning with ease
Google CLOUD AUTOML - Train custom ML models with minimum effort and expertise