This is the Linux app named Shumai whose latest release can be downloaded as shumaisourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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스크린 샷
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슈 마이
기술
Shumai is an experimental differentiable tensor library for TypeScript and JavaScript, developed by Facebook Research. It provides a high-performance framework for numerical computing and machine learning within modern JavaScript runtimes. Built on Bun and Flashlight, with ArrayFire as its numerical backend, Shumai brings GPU-accelerated tensor operations, automatic differentiation, and scientific computing tools directly to JavaScript developers. It allows seamless integration of machine learning, deep learning, and custom differentiable programs into web-based or server-side environments without relying on Python frameworks. The library supports matrix operations, gradient computation, and tensor conversions with intuitive APIs and near-native speed, thanks to Bun’s low-overhead FFI bindings. It can automatically leverage GPU acceleration on Linux (via CUDA) and CPU computation on macOS.
기능
- Fast GPU-accelerated tensor operations powered by ArrayFire and Flashlight
- Automatic differentiation with flexible gradient control and detachment
- Supports matrix multiplication, elementwise operations, and data conversion between JS arrays and tensors
- Built with Bun for high-speed JIT and minimal FFI overhead
- Cross-platform support for macOS (CPU) and Linux (CUDA GPU)
- Integrated statistics logging, profiling, and memory tuning APIs
프로그래밍 언어
C++, Python, TypeScript
카테고리
This is an application that can also be fetched from https://sourceforge.net/projects/shumai.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
