What is Shumai?
Shumai is a cutting-edge tensor library for TypeScript and JavaScript developers, enhancing computational capabilities for data science, machine learning, and AI applications. It provides a fast and differentiable platform for handling complex mathematical operations.
How to use Shumai?
Install via npm or yarn, import into your project, and create tensors using shumai.tensor(). Perform operations with intuitive syntax like tensor.add() or tensor.multiply(). Chain operations for complex computations and use automatic differentiation for gradient calculations.
Core features of Shumai?
- High-performance tensor operations optimized for speed
- Automatic differentiation support for gradient-based optimization
- Seamless integration with JavaScript and TypeScript ecosystems
- GPU acceleration for enhanced computational power
- Comprehensive mathematical functions for neural networks

