TensorForge Documentation

TensorForge is a modular machine learning framework designed for JavaScript and TypeScript from mathematical first principles. It delivers hardware-optimized, fundamental numerical structures alongside an extensible catalog of classic algorithms and comprehensive deep learning networks.

Explore the Ecosystem

Full Guide →

Learn execution patterns, installation configurations, and parameter updating techniques.

Architecture →

Understand buffer allocation logic, typed optimization, and systemic internal structures.

API Reference →

Deep-dive straight into method payloads, structures signatures, and core definitions.

Code Examples →

Practical configurations of SVM instances, Dense Layer loops, and KNN setups.