Based on our record, Chrome Experiments should be more popular than Amazon Machine Learning. It has been mentiond 4 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: almost 2 years ago
Do you have questions about Data Science and ML on AWS - https://aws.amazon.com/machine-learning/. Source: over 3 years ago
There are sites out there that highlights quality and interesting designs on the modern web; awwwards is one, experiments with Google is another. There is some crazy stuff happening on the web in the right now, it’s just no longer in the mainstream. Source: over 1 year ago
Stumbled upon this via https://experiments.withgoogle.com/collection/chrome. Source: over 1 year ago
Found it through the Experiments with Google: Chrome Experiments years and years ago, there’s all sorts of neat things to sort through in there! Source: over 1 year ago
I don't know if I prefer python or JavaScript as a language. What I enjoy is that, in general, for me. I feel like I can do more stuff easily in JS. Looking around I see 1000s of cool things made in JS. three.js, babylon.js, Google Maps, Chrome Experiments. I make things and I can share them with just a link like Rockfall, Slime Sim. Where as, all my python has been command line scripts. I know there are probably... Source: about 2 years ago
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
Experiments With Google - Amazing experiments using Chrome, Android, AI, WebVR, AR!
Lobe - Visual tool for building custom deep learning models
A.I. Experiments by Google - Explore machine learning by playing w/ pics, music, and more
Apple Machine Learning Journal - A blog written by Apple engineers
Splice - Music creation, collaboration, and sharing made simple.