Shumai - Swiftehub

Shumai

Introduction:

A rapidly accessible, network-enabled, open-source tensor library that supports differentiation.
Category:

Code&IT
Added on:

Mar 07 2023
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Shumai: An Overview

Shumai is an open-source, high-performance tensor library designed for TypeScript and JavaScript, facilitating efficient numerical computations. Its differentiable capabilities make it ideal for applications in software engineering and research, particularly in fields requiring advanced mathematical modeling and machine learning.

Shumai: Main Features

Open-source
High performance
Network-connected
Differentiable tensor operations

Shumai: User Guide

Install Shumai by running the command: npm install shumai in your project directory.
Import Shumai in your TypeScript or JavaScript file with: import { Tensor } from 'shumai';
Create tensors using the provided API, for example: const tensor = new Tensor([1, 2, 3]);
Utilize various tensor operations and functions as needed in your application.

Shumai: User Reviews

"Shumai has significantly improved the speed of my machine learning models. The integration with TypeScript is seamless!" - Alex P.
"As a researcher, I find Shumai's differentiable capabilities incredibly useful for my simulations." - Dr. Emily R.