
ML5.js
Amazon Machine Learning
Machine Learning Playground
Papers with Code
Apple Machine Learning Journal
Evidently AI
ML Showcase
Lobe
Materialize CSS
Bootstrap
Foundation
Semantic UI
UIKit
Tailwind CSS
Bulma
Material UI
Materialize CSSML5.js is recommended for educators, beginners, artists, and developers who want to quickly implement machine learning models in web applications. It is also suitable for creative coding projects and interactive applications where simplicity and ease of use are important.
Materialize CSS is recommended for teams and developers who prefer Google's Material Design aesthetic, are building applications with a focus on rapid UI development, and value consistency and ease of use. It's also great for projects where a pre-existing UI library speeds up the development process, such as prototypes, admin dashboards, or smaller web applications. However, for highly customized UI components or non-Material Design projects, other frameworks might be more suitable.
Based on our record, Materialize CSS should be more popular than ML5.js. It has been mentiond 28 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.
Libraries: Surprise for collaborative filtering (Python), TensorFlow.js for in-browser ML, ml5.js for approachable ML in JS. - Source: dev.to / 6 months ago
Ml5.js: Built on top of TensorFlow.js, it provides a user-friendly interface for implementing machine learning in web applications.โ. - Source: dev.to / over 1 year 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 3 years 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 / about 4 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: over 4 years ago
Materialize - Responsive front-end framework based on Material Design. - Source: dev.to / 7 months ago
Sure, why not use Blazor? It makes life easier for the developers who are primarily backend, to work on the frontend as well. Seems like the better choice. So what's next? The UI library. No shade to the long-time standing Bootstrap, but it's 2023 and there are so many other libraries one could use outside of Bootstrap; TailwindCSS, Bulma, Materialize CSS, just to name a few. Forget that for a minute, maybe we can... - Source: dev.to / 10 months ago
Materialize is a modern CSS framework based on Googleโs Material Design. It was created and designed by Google to provide a unified and consistent user interface across all its products. Materialize is focused on user experience as it integrates animations and components to provide feedback to users. - Source: dev.to / almost 2 years ago
Materialize was created by a team of developers at Google, inspired by the principles of Material Design. Material Design is a design language developed by Google that emphasizes tactile surfaces, realistic lighting, and bold, graphic interfaces. Materialize aims to bring these principles to web development by providing a framework with ready-to-use components and styles based on Material Design. - Source: dev.to / over 2 years ago
If you wanna make it look nice use materialize css works great with Django templates. Source: over 3 years ago
Amazon Machine Learning - Machine learning made easy for developers of any skill level
Bootstrap - Simple and flexible HTML, CSS, and JS for popular UI components and interactions
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
Foundation - The most advanced responsive front-end framework in the world
Papers with Code - The latest in machine learning at your fingerprints
Semantic UI - A UI Component library implemented using a set of specifications designed around natural language