Based on our record, Purecss should be more popular than Amazon Machine Learning. 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.
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: over 2 years ago
Do you have questions about Data Science and ML on AWS - https://aws.amazon.com/machine-learning/. Source: about 4 years ago
Neat lacks a header and navigation; this by design, and may be enough for simple sites. If you want more capability, Pure.css is good to try too https://purecss.io/. - Source: Hacker News / 10 months ago
I found Pure.css and it looks nice but maybe there is something better? Source: almost 2 years ago
Some examples: - https://simplecss.org/ - https://purecss.io/ (I've used this one for over a decade and works great). Source: over 2 years ago
Now, to test our CSP, we just have to load some external resources. Let's bring on Pure.css and Lodash. Update index.ejs to look like this :. - Source: dev.to / almost 3 years ago
Personally I don't like either. Bootstrap seems too bloated and cookie-cutter, and Tailwind is inline styles and clutter. Lately I've used Bulma (CSS framework) and Buefy (Bulma + Vue) on a couple of projects. I also like the look of Pure CSS, but I haven't used it. Source: about 3 years ago
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
Bootstrap - Simple and flexible HTML, CSS, and JS for popular UI components and interactions
Apple Machine Learning Journal - A blog written by Apple engineers
Materialize CSS - A modern responsive front-end framework based on Material Design
ML5.js - Friendly machine learning for the web
Tailwind CSS - A utility-first CSS framework for rapidly building custom user interfaces.