
Apple Core ML
Amazon Machine Learning
Apple Machine Learning Journal
TensorFlow Lite
Roboflow Universe
HandL
Google CLOUD AUTOML
ML5.js
Getwebstack
MarsX
Getwebstack is for development teams that implement a lot of different projects. It can help outsourcing companies, accelerators, freelancers, or dev studios to develop fast. It is also for individuals that want to test a technology or an idea for a startup with a quick setup and deployment. Getwebstack provides a complete solution that covers all the technical aspects of a web app. It has an affordable monthly subscription instead of an expensive one-time payment.
Apple Core ML
GetwebstackNo Getwebstack videos yet. You could help us improve this page by suggesting one.
Based on our record, Apple Core ML seems to be more popular. It has been mentiond 9 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.
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
Amazon Machine Learning - Machine learning made easy for developers of any skill level
MarsX - MarsX leverages the power of AI to help users build mobile and web applications using code and no-code technology. MarsX is highly accessible, allowing even non-developers and those with zero building and coding experience to create their own mobile
Apple Machine Learning Journal - A blog written by Apple engineers
TensorFlow Lite - Low-latency inference of on-device ML models
Roboflow Universe - You no longer need to collect and label images or train a ML model to add computer vision to your project.
HandL - Label data for machine learning with ease