Browser Ml
Showing 13 of 13 projects
A hardware-accelerated JavaScript library for training and deploying machine learning models in browsers and Node.js.
A hardware-accelerated JavaScript library for training and deploying machine learning models in the browser and Node.js.
GPU-accelerated neural network library for JavaScript, running in browsers and Node.js.
WebGL-accelerated machine learning library for JavaScript with linear algebra and automatic differentiation.
A simple feed-forward neural network library for JavaScript, enabling machine learning tasks like pattern recognition and function approximation.
A friendly JavaScript library that makes machine learning accessible in the browser for artists, creative coders, and students.
A JavaScript library for real-time hand detection and pose classification directly in the browser using TensorFlow.js.
A comprehensive collection of machine learning algorithms and mathematical utilities implemented in JavaScript for browser and Node.js.
A collection of TypeScript libraries for music and art generation using pre-trained machine learning models in the browser.
A TypeScript machine learning library for the web and Node.js with a simple, consistent API.
A JavaScript library and workspace for building and experimenting with dynamic neural network architectures.
A curated collection of tools, tutorials, models, and resources for mastering TensorFlow.js.
A JavaScript library implementing logistic regression and C4.5 decision tree algorithms for machine learning in the browser and Node.js.
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