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Shumai is an open-source, high-performance, network-connected, differentiable tensor library for TypeScript and JavaScript. It is built with Bun and Flashlight to support software engineers and researchers. Shumai aims to streamline dataset creation, speed up small model training, provide more expressive options for advanced training and inference, and make building applications more enjoyable.
First, install Bun and ArrayFire. Next, install the Shumai package by running 'bun install @shumai/shumai'. You can then use standard array utilities, convert data to and from native JavaScript arrays, and utilize gradients to train your models.
Shumai officially supports macOS and Linux. Windows users can run it via Docker, WSL2, and Linux.
On Linux, the default is GPU computation using CUDA, while macOS defaults to CPU. Future support for OpenCL is planned.
First, ensure Bun is installed and set up ArrayFire. Then, install the Shumai package using the command 'bun install @shumai/shumai'.
Flashlight is a fast, extensible machine learning engine written in C++ that serves as the backend for Shumai.
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