Nicely Done
Page Flows
Mobbin
UI Movement
pttrns
UI Sources
UI Patterns
Refero Design
ML5.js
Amazon Machine Learning
Machine Learning Playground
Lobe
Apple Machine Learning Journal
Papers with Code
Pretrained AI
Evidently AI
Explore the best product's UX flows in detail and inspect how they've designed every detail. Save hours of research and find design inspiration for your project easily.
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Based on our record, ML5.js should be more popular than Nicely Done. 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://nicelydone.club is an inspiration library of web apps. Source: 5 months ago
Nicely Done Club: Honestly, I found about this while also searching for more websites for this document, but I’m in love with it and definitely going to look more to this. Def. Check this out. Great for UX and understanding conversion principles. Source: 11 months ago
Step 2: Understand UI design. Https://www.interaction-design.org/literature/topics/ui-design Https://uxplanet.org/what-is-ui-vs-ux-design-and-the-difference-d9113f6612de Visual Understanding Https://mobbin.com/browse/android/apps Https://pageflows.com/ Https://godly.website/ Https://nicelydone.club/. - Source: dev.to / over 1 year ago
I upload and classify everything on Nicelydone (https://nicelydone.club). Source: about 2 years ago
I’m running Nicelydone that is exactly this. I’m taking screenshots of both marketing part and product part (everything behind a login/signup page) of web applications. Source: about 2 years ago
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
Page Flows - User flow design inspiration for mobile & desktop
Amazon Machine Learning - Machine learning made easy for developers of any skill level
Mobbin - Latest mobile design patterns & elements library
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
UI Movement - The best UI design inspiration, daily
Lobe - Visual tool for building custom deep learning models