ml5-library

Why we included this project

ml5.js is aimed at people who want machine learning in the browser without becoming deep learning specialists. If you already write p5.js sketches or build interactive web art, you can drop in image classification, pose tracking, or text generation with a few lines of code. The library wraps TensorFlow.js in a friendly, example-driven API, and the project ships tutorials and sample datasets that also cover the responsible side of data collection and bias. Because everything runs client-side in the page, you can prototype an interactive piece in an afternoon and serve it as a plain web page. Students, educators, and creative coders coming from Processing or p5.js will find it a natural next step rather than a separate stack to learn.