deeplearn.js - Hardware-accelerated deep learning and linear algebra (NumPy) library for the web
WebGL-accelerated machine learning library for JavaScript with linear algebra and automatic differentiation.
What is deeplearn.js - Hardware-accelerated deep learning and linear algebra (NumPy) library for the web?
Deeplearn.js is a WebGL-accelerated machine learning library for JavaScript that provides linear algebra operations and automatic differentiation capabilities. It enables developers to train and run neural networks directly in web browsers using GPU acceleration through WebGL, eliminating the need for server-side computation for many ML tasks.
Web developers and JavaScript engineers who want to incorporate machine learning capabilities into browser-based applications without relying on backend services.
Deeplearn.js offers native browser-based machine learning with GPU acceleration, providing performance comparable to traditional server-side ML frameworks while maintaining the accessibility and deployment simplicity of client-side JavaScript.
Overview
WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.
Use Cases
Best For
- Building interactive machine learning demos that run entirely in the browser
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
