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Shumai download for Linux

Free download Shumai Linux app to run online in Ubuntu online, Fedora online or Debian online

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.

Download and run online this app named Shumai with OnWorks for free.

Urmați aceste instrucțiuni pentru a rula această aplicație:

- 1. Ați descărcat această aplicație pe computer.

- 2. Introduceți în managerul nostru de fișiere https://www.onworks.net/myfiles.php?username=XXXXX cu numele de utilizator pe care îl doriți.

- 3. Încărcați această aplicație într-un astfel de manager de fișiere.

- 4. Porniți emulatorul online OnWorks Linux sau Windows online sau emulatorul online MACOS de pe acest site web.

- 5. Din sistemul de operare OnWorks Linux pe care tocmai l-ați pornit, accesați managerul nostru de fișiere https://www.onworks.net/myfiles.php?username=XXXXX cu numele de utilizator dorit.

- 6. Descărcați aplicația, instalați-o și rulați-o.

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Shumai


DESCRIERE

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.



Categorii

  • 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


Limbaj de programare

C++, Python, TypeScript


Categorii

Biblioteci

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.


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