Apple Core ML
Amazon Machine Learning
TensorFlow Lite
Roboflow Universe
ML5.js
Alchemy by Fritz
QuickAI
3D semantic segmentation by Playment
Home-Assistant.io
openHAB
Google Home
ioBroker
Domoticz
Home
Homebridge.io
Jeedom
Apple Core ML Home-Assistant.ioBased on our record, Home-Assistant.io should be more popular than Apple Core ML. It has been mentiond 67 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 / 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: almost 3 years ago
* Home Assistant (https://home-assistant.io/) - with USB passthrough of USB stick to read out my digital electricity/gas meters, Zigbee and Z-Wave. - Source: Hacker News / about 1 month ago
HA is Home Assistant. You should check it out. Mushroom is an add on to HA’s interface that adds sone different style “cards” than what it comes with. Source: 12 months ago
Yes, there's Home Assistant that can work completely off-line. You can find multitude tutorials on youtube on how to set it up, even using cheap solutions like Raspberry PI. Source: about 1 year ago
I'm going to suggest- you ever heard of Home Assistant? It's a really useful home automation tool you could integrate with weather and clock on a dashboard. As well, you could use it to control smart devices. Source: about 1 year ago
As for the "what is playing" detection on my google minis. This is done with "https://home-assistant.io/". Source: over 1 year ago
Amazon Machine Learning - Machine learning made easy for developers of any skill level
openHAB - "empowering the smart home" - vendor and technology agnostic open source home automation
TensorFlow Lite - Low-latency inference of on-device ML models
Google Home - Set up, manage, and control your Chromecast, Chromecast Audio and Google Home devices.
Roboflow Universe - You no longer need to collect and label images or train a ML model to add computer vision to your project.
ioBroker - flexible and modular application for the IoT and Smarthome
