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Based on our record, ML5.js should be more popular than Cat As A Service (CATAAS). 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.
From transformers import Tool From huggingface_hub import list_models Class CatImageFetcher(Tool): name = "cat_fetcher" description = ("This is a tool that fetches an actual image of a cat online. It takes no input, and returns the image of a cat.") inputs = [] outputs = ["image"] def __call__(self): return Image.open(requests.get('https://cataas.com/cat',... - Source: dev.to / about 1 year ago
CATAAS - Cat as a service is a REST API to spread peace and love (or not) thanks to cats. Source: about 1 year ago
See https://cataas.com/ for all the options. Source: over 1 year ago
I always thought web facing APIs were cool. They can do so much useful stuff! Bonus points if you can figure out how to get it hosted somewhere. It doesn't even have to do anything meaningful - here is an API that serves up random pictures of cats lol https://cataas.com/. Source: over 1 year ago
I feel this needs to be a SaaS product like Cat as a service! 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: over 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
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