Apple Core ML
Amazon Machine Learning
TensorFlow Lite
ML5.js
Roboflow Universe
Alchemy by Fritz
Apple Machine Learning Journal
Monitor ML
BrowserStack
LambdaTest
Sauce Labs
Selenium
browserling
CrossBrowserTesting
Ghost Inspector
Testsigma
BrowserStack is a leading software testing platform powering over two million tests every day across 15 global data centers. With BrowserStack, developers can comprehensively test their websites and mobile applications across 2,000+ real mobile devices and browsers in a single cloud platform—and at scale. BrowserStack helps Tesco, Shell, NVIDIA, Discovery, Wells Fargo, and over 50,000 customers deliver quality software at speed.
Apple Core ML BrowserStackBrowserStack might be a bit more popular than Apple Core ML. We know about 8 links to it since March 2021 and only 7 links to 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.
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
This is pretty cool - the Jira/Linear integration could save a ton of manual work. How do you handle test data setup and teardown? That's usually where these workflows get messy. For alternatives in this space, there's qawolf (https://qawolf.com) for similar automated testing workflows, or I'm actually building bug0 (https://bug0.com) which also does AI-powered test automation, still in beta. For the more... - Source: Hacker News / 17 days ago
Platforms like Browserstack or SauceLabs offer virtual instances of real devices and browsers for manual and end-to-end testing. Caveat: subscriptions cost money and are on a per-seat basis. - Source: dev.to / about 1 year ago
If you go to browserstack.com (a website to test other websites) you can probably to the chatgpt url and sign up there. Source: over 2 years ago
For testing on Mac or iOS, use browserstack.com, you'll spend considerably less using that than you would buying the actual hardware. Source: over 2 years ago
I've seen subscription services such as browserstack.com and lambdatest.com but I believe they cost to get the full range of mac browsers and devices. Source: over 2 years ago
Amazon Machine Learning - Machine learning made easy for developers of any skill level
LambdaTest - Perform Web Testing on 2000+ Browsers & OS
TensorFlow Lite - Low-latency inference of on-device ML models
Sauce Labs - Test mobile or web apps instantly across 700+ browser/OS/device platform combinations - without infrastructure setup.
ML5.js - Friendly machine learning for the web
Selenium - Selenium automates browsers. That's it! What you do with that power is entirely up to you. Primarily, it is for automating web applications for testing purposes, but is certainly not limited to just that.
