Apple Core ML
Amazon Machine Learning
TensorFlow Lite
Roboflow Universe
ML5.js
Alchemy by Fritz
QuickAI
Apple Machine Learning Journal
Runtastic
Strava
RunKeeper
MyFitnessPal
Runalyze
RunnerUp
SportNomad
Zombies Run
Apple Core ML RuntasticBased on our record, Apple Core ML should be more popular than Runtastic. It has been mentiond 7 times since March 2021. 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.
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 / 4 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 / 6 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: almost 3 years ago
Workaround is to use SHealth only, export gpx file, then import it through runtastic.com (Profile (Arrow Next to profile picture) ->Settings->Activity Import). The imported workout count for the challenges. Source: almost 2 years ago
Amazon Machine Learning - Machine learning made easy for developers of any skill level
Strava - The #1 app for runners and cyclists
TensorFlow Lite - Low-latency inference of on-device ML models
RunKeeper - Join the community of over 45 million runners who make every run amazing with Runkeeper. Track your workouts and reach your fitness goals!
Roboflow Universe - You no longer need to collect and label images or train a ML model to add computer vision to your project.
MyFitnessPal - Track the number of calories that you consume each day with MyFitnessPal. The app also lets you create a diet and track the exercise that you complete each day whether it's walking, running or some other type of program.