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Based on our record, ML5.js should be more popular than A.I. Experiments by Google. 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.
Important APIs - ml5 for in-browser detection, face-api that uses tensorflow-node to accelerate on-server detection. VueUse for a bunch of useful component tools like the QR Code generator. Yahoo's Gifshot for creating gif files in-browser etc. - Source: dev.to / over 1 year ago
See also: https://ml5js.org/ "The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.". - Source: Hacker News / almost 2 years ago
I used ml5js.org , p5js.org and https://teachablemachine.withgoogle.com to train the Banana images. When you create a new image project on Teachable Machine, you can output the p5js and basically use it right out of the box - I customized js, css, and html from there. Source: about 2 years ago
Going forward: I'll be 100% into JavaScript. You can use JavaScript in so many fields nowadays. Websites React, Mobile Apps React Native, Machine Learning TensorFlow & ML5, Desktop Applications Electron, and of course the backend Node as well. It's kind of a no-brainer. Of course, they all have specific languages that are better, but for now, JavaScript is a bit of a catch-all. - Source: dev.to / over 2 years ago
From other comments, a lot of JavaScript developers who want to use TensorFlow had never heard of TensorFlow.js or ml5.js! Source: over 2 years ago
Try this: https://experiments.withgoogle.com/collection/ai. Source: over 1 year ago
But Google has a whole set of AI writing tools - https://experiments.withgoogle.com/collection/ai So by their own definition they are producing spam? - Source: Hacker News / about 2 years ago
Https://experiments.withgoogle.com/collection/ai might also help (I haven't used this IRL). Source: over 2 years ago
It's hard to imagine you've not seen Google's doodle guessing training (or their other experiments) but it's just another example of how little information you actually need to create a recognizable image, though Canvas also shows this off, but it has the benefit of material information. Source: over 2 years ago
To come back to your original question, as far as I'm aware anyone can publish on arxiv or researchgate. People will just tend to take you less serious. Maybe a better solution for you is something like this https://experiments.withgoogle.com/collection/ai . You already said you think your idea might be industry changing so if it truly is, I'm sure people will start noticing you. Source: almost 3 years ago
Amazon Machine Learning - Machine learning made easy for developers of any skill level
Facebook.ai - Everything you need to take AI from research to production
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
Lobe - Visual tool for building custom deep learning models
aijs.rocks - A collection of AI-powered JavaScript apps
Apple Machine Learning Journal - A blog written by Apple engineers