Shumai: Open-source, Fast, Network Tensor Library for TypeScript

Shumai: Open-source, fast, and network-connected tensor library for TypeScript/JavaScript. Ideal for differentiation and high-performance computing.

Visit Website
Shumai: Open-source, Fast, Network Tensor Library for TypeScript
Directory : AI Developer Tools, FreeOpen Source AI Code Assistant

Shumai Website screenshot

Introducing Shumai

Shumai is a cutting-edge, open-source tensor library designed for TypeScript (and JavaScript). It is known for its speed, network connectivity, and differentiable capabilities, making it an ideal tool for various computational tasks.

Getting Started with Shumai

Key Features of Shumai

Open-source

High Performance

Network-enabled

Supports Differentiation

Tensor Operations

Applications of Shumai

Software Development

Shumai FAQ

What is Shumai?

Shumai is an open-source, fast, network-connected, differentiable tensor library for TypeScript (and JavaScript).

How to use Shumai?

To use Shumai, you need to first install it using npm. Then, you can import the library into your TypeScript or JavaScript project and start using its tensor functionality.

How do I install Shumai?

To install Shumai, you can use npm by running the command 'npm install shumai'.

What are the core features of Shumai?

The core features of Shumai include being open-source, fast, network-connected, and differentiable.

What programming languages does Shumai support?

Shumai primarily supports TypeScript, but it can also be used with JavaScript.

What are some use cases for Shumai?

Shumai is useful for software engineering and research tasks.