Based on our record, F-Droid seems to be a lot more popular than Apple Core ML. While we know about 376 links to F-Droid, 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.
F-Droid is an installable catalogue of FOSS (Free and Open Source Software) applications for the Android platform. Download and install the F-Droid app from https://f-droid.org/. - Source: dev.to / about 1 month ago
Head over to the F-Droid website and follow the instructions to install the app. Once that's done, open F-Droid and search for Termux and install the latest version. Please don't use Google Play Store to install Termux, as the version there is very outdated. - Source: dev.to / 2 months ago
The freedom, such as it is, comes from alternative app stores. I trust F-Droid (https://f-droid.org/) somewhat more than I trust apps on the Play Store so that's my first stop when I'm looking for something. - Source: Hacker News / 3 months ago
You can find alternative apps for almost everything. Most of the opensource alternatives have no im built trackers. Use https://f-droid.org/ for free open source, adfree, tracker-free apps. Source: 6 months ago
F-Droid Basic (version 1.18.0): The minimal client app for the app store that respects freedom and privacy. Source: 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 / 3 months ago
Apple has actually created ML chipsets, so AI can be executed natively, on-device. https://developer.apple.com/machine-learning/. - Source: Hacker News / 5 months 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 1 year 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 1 year ago
This is the developer documentation where they advertise the APIs - https://developer.apple.com/machine-learning/. Source: over 2 years ago
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