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Apple Core ML
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ML5.js
Ghost
Apple Core MLBased on our record, Ghost seems to be a lot more popular than Apple Core ML. While we know about 196 links to Ghost, we've tracked only 9 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.
Digital production has lowered the cost, and the Ghost platform in particular is a great value for small publishers, bundling together the blog, newsletter and subscriptions in one package, even now including ActivityPub federation. And Ghost themselves a non-profit org that doesn't mark up the Stripe transaction fees! One local news outlet recently switched to that, saving about %5 on Patreon fees and a second is... - Source: Hacker News / 6 months ago
Https://ghost.org โ Open-source run by a non-profit headquartered in Singapore. - Source: Hacker News / 6 months ago
If you're hell-bent on headless, I can personally recommend 11ty (https://www.11ty.dev/) and hugo (https://gohugo.io/). That said, for non-technical admins, you probably want a user interface. For that, Ghost (https://ghost.org/) and Grav (https://getgrav.org/). Or Wordpress! - Source: Hacker News / 10 months ago
They should provide an option to move to https://ghost.org/. - Source: Hacker News / 10 months ago
In this post, I'll show you how to build an agent with sufficient contextual understanding of underlying analytics data - and the tools to query it - so that you can have a chat with your data (any data!). Specifically, I'll build a simple analytics agent for a blog - hosted on the open-source publishing platform Ghost. The agent will tell us which content is performing the best, and why. - Source: dev.to / 11 months ago
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 / 7 months ago
Overview and entry point: Https://developer.apple.com/machine-learning/. - Source: dev.to / 7 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: about 3 years ago
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Amazon Machine Learning - Machine learning made easy for developers of any skill level
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Apple Machine Learning Journal - A blog written by Apple engineers
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TensorFlow Lite - Low-latency inference of on-device ML models