ML5.js
Amazon Machine Learning
Machine Learning Playground
Lobe
Apple Machine Learning Journal
Pretrained AI
Evidently AI
Apple Core ML
Papers with Code
Amazon Machine Learning
Machine Learning Playground
arXiv
Lobe
mlblocks
Spell
Apple Machine Learning Journal
Papers with CodeBased on our record, Papers with Code seems to be a lot more popular than ML5.js. While we know about 96 links to Papers with Code, we've tracked only 9 mentions of ML5.js. 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 / about 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
Papers With Code is one of the good resources to get you to get started. - Source: dev.to / 8 days ago
For ML/DL papers you can check https://paperswithcode.com/. - Source: Hacker News / 4 months ago
This resource has been invaluable to me: https://paperswithcode.com/ From the past examples you give it sounds like you were into computer vision. There’s been a ton of developments since then, and I think you’d really enjoy the applications of some of those classic convolutional and variational encoder techniques in combination with transformers. A state of the art multimodal non-autoregressive neural net model... - Source: Hacker News / 4 months ago
And also you can find papers with their implementations in code here: http://paperswithcode.com. - Source: Hacker News / 4 months ago
Check out paperswithcode, scroll through arxiv, or browse some well-known conferences in the field (NeurIPS, ICML). Source: 5 months ago
Amazon Machine Learning - Machine learning made easy for developers of any skill level
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
Lobe - Visual tool for building custom deep learning models
arXiv - arXiv is a free distribution service and an open-access archive for scholarly articles.
Apple Machine Learning Journal - A blog written by Apple engineers
Pretrained AI - Integrate pretrained machine learning models in minutes.
