What platforms are supported by Shumai?

Shumai officially supports macOS and Linux. Windows support is possible through Docker + WSL2 + Linux.

Does Shumai use GPU or CPU for computation?

Linux installs default to GPU computation with CUDA, and macOS defaults to CPU. OpenCL support is planned for the future.

How do I install Shumai?

Ensure you have Bun installed, then install ArrayFire. Finally, install the Shumai package using 'bun install @shumai/shumai'.

Flashlight is a fast, extensible machine learning engine written in C++ and is used as a backend for Shumai.

Shumai: Fast, differentiable tensor library for TypeScript and JavaScript.

Name: Shumai
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Fast, differentiable tensor library for TypeScript and JavaScript.

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Mar 07 2023

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Shumai Product Information

What is Shumai?

Shumai is an open-source, fast, network-connected, differentiable tensor library for TypeScript (and JavaScript). It is built with bun + flashlight for software engineers and researchers. Shumai aims to make creating datasets easier, training small models faster, advanced/fine-grained training/inference logic more expressive, and building applications enjoyable.

How to use Shumai?

Install Bun and ArrayFire, then install the Shumai package using 'bun install @shumai/shumai'. Use standard array utilities and convert to/from JavaScript native arrays. Utilize gradients for training models.