Based on our record, React Native seems to be a lot more popular than Apple Core ML. While we know about 232 links to React Native, we've tracked only 7 mentions of Apple Core ML. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
React Native: Assez faile à prendre en main si on maitrise React. - Source: dev.to / about 1 month ago
React skills work for React Native development - Although React Native is a separate framework designed specifically for building mobile applications, many of the skills a developer gains working with the React framework are applicable here as well. - Source: dev.to / 2 months ago
React Native (Official Documentation) allows you to create apps for both iOS and Android with a single codebase, while TypeScript adds type safety to your JavaScript, reducing bugs and improving code quality. - Source: dev.to / 5 months ago
React Native is the powerhouse for cross-platform mobile development. Write once, run everywhere, get native performance when you need it, enjoy hot reloading for rapid development, tap into a huge ecosystem of libraries and tools, and integrate with native modules when you need platform-specific features. - Source: dev.to / 5 months ago
React Native is a powerful framework for building cross-platform mobile applications using JavaScript and React. Whether you're a seasoned developer or a beginner, starting a new React Native project can be both exciting and challenging. This guide will walk you through the essential steps, tools, and best practices to set up your React Native project efficiently and effectively. - Source: dev.to / 6 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 1 year 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 1 year 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: about 2 years ago
> It’d be one thing if Apple actually worked on AI softwares a bit and made it readily available to developers. * Apple Silicon CPUs have a Neural Engine specifically made for fast ML-inference * Apple supports PyTorch (https://developer.apple.com/metal/pytorch/) * Apple has its own easily accessible machine-learning framework called Core-ML (https://developer.apple.com/machine-learning/) So it would be inaccurate... - Source: Hacker News / about 2 years ago
This is the developer documentation where they advertise the APIs - https://developer.apple.com/machine-learning/. Source: over 3 years ago
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