Shumai (Meta)-Tensor Library-Automatic Differentiation-Computational Support-Shumai - Fast and Differentiable Tensor Library

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Shumai (Meta)
Shumai - Fast and Differentiable Tensor Library
Applicable People: Front-end Engineer,Back-end Engineer,Programming Enthusiast,Others
Front-end Engineer
Back-end Engineer
Programming Enthusiast
Others
Tensor Library
Automatic Differentiation
Computational Support
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5000+ Artificial Intelligence Tools for YouDiscover AI, Unleash Your PotentialProduct Introduction
Shumai is an open-source, fast, network-connected, differentiable tensor library for TypeScript and JavaScript. It is built on bun + flashlight and aims to provide efficient computational support for software engineers and researchers.
5000+ Artificial Intelligence Tools for YouDiscover AI, Unleash Your PotentialMain Function
Shumai offers a wide range of tensor operations and computational capabilities, including tensor creation, reshaping, slicing, indexing, mathematical operations, linear algebra, convolution, pooling, and more. Additionally, Shumai supports automatic differentiation, making it easy to compute gradients and perform backpropagation.
How to Use
Users can install Shumai through npm and import the library files into TypeScript or JavaScript projects. With the APIs provided by Shumai, users can easily create and manipulate tensors, as well as perform various calculations and automatic differentiation. Shumai also offers detailed documentation and examples to help users get started quickly.
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