ML5.js
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Filestack is a cloud-based file management platform that provides tools for uploading, transforming, and delivering files in web, mobile, and desktop applications.
Its features include a picker UI, which allows users to upload files from their local computers and various external sources, and the Transformation UI, which provides a range of options for modifying and processing uploaded files.
When integrating these features into their applications, Filestack's APIs give developers flexibility and control.
Filestack can help add file management functionality to an application. Still, it's essential to carefully consider the specific needs of your application and evaluate whether Filestack or other similar tools would be the best fit.
They are simple to implement and offer a lot of flexibility. We can also provide insights into how your users use the system and how that affects your business objectives for your business teams. Users can upload files from a variety of sources, including their local computers, using the uploads feature. Picker offers a user-friendly interface for selecting and uploading files, and it can be customized and configured to meet the needs of a specific application.
Tools for modifying and processing uploaded files are provided by our Transormations API. This can include operations like resizing, cropping, and rotating images. Furthermore, the delivery component includes tools for optimizing file delivery performance and responsiveness.
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Based on our record, ML5.js seems to be more popular. 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.
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
Amazon Machine Learning - Machine learning made easy for developers of any skill level
Uppy - The next open source file uploader for web browsers
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
Uploader Window - Easy File Uploader for your websites and apps
Lobe - Visual tool for building custom deep learning models
Uploadcare - File uploading, media processing & content delivery for modern web apps
