Based on our record, Gomix seems to be a lot more popular than Amazon Machine Learning. While we know about 30 links to Gomix, we've tracked only 2 mentions of Amazon Machine Learning. 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://glitch.com/edit/#!/sphenoid-wealthy-track?path=index.html%3A73%3A19 The future will be full of programmers like my kid who have no clue of programming and have no clue why things work! - Source: Hacker News / 27 days ago
Yes in fact first-person WASD / arrow controls are the default in A-Frame, you can just remix and remove the orbit controls in lines 43 and 44 https://glitch.com/edit/#!/maps-and-splats?path=index.html%3A45%3A0. - Source: Hacker News / about 2 months ago
Source: https://glitch.com/edit/#!/maps-and-splats?path=index.html. - Source: Hacker News / about 2 months ago
Https://glitch.com/edit/#!/positive-rhetorical-timbale. - Source: Hacker News / 6 months ago
It's back! Worth noting that you could also remix the project :) https://glitch.com/edit/#!/wobble-clock. - Source: Hacker News / over 1 year ago
There’s also the ML as a service (MLaaS) movement that lowers the barrier for common ML capabilities (eg image object detection and audio transcription). Basically, you use APIs. See: https://aws.amazon.com/machine-learning/. Source: almost 2 years ago
Do you have questions about Data Science and ML on AWS - https://aws.amazon.com/machine-learning/. Source: over 3 years ago
Octane AI - Octane AI offers tools to create a bot and engage customers and audience via messaging.
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
Init.ai - Init.ai is the simplest way to build, train, and deploy intelligent conversational apps
Lobe - Visual tool for building custom deep learning models
Chatfuel - Chatfuel is the best bot platform for creating an AI chatbot on Facebook.
Apple Machine Learning Journal - A blog written by Apple engineers