Shumai (Meta)
2007Shumai: High-Performance Tensor Library for JS/TS
Shumai, created by facebookresearch, is a fast and efficient differentiable tensor library for JavaScript and TypeScript. Leveraging Bun + Flashlight, Shumai is ideal for both software engineers and researchers.
Free, $ 10/mo
1 billion
United States of America
Powerful Features
Discover what makes Shumai (Meta) stand out from the competition
High-Performance Computing
Utilizes Bun + Flashlight for optimized tensor operations, providing speed and efficiency on par with native solutions.
Cross-Platform Support
Works seamlessly on MacOS and Linux, with experimental support for Windows via Docker + WSL2.
Fast Differentiation
Supports automatic differentiation, enabling the quick creation and training of machine learning models.
Easy Integration
Native typed arrays and JIT compiler make data manipulation simple and efficient, enhancing application development.
Active Development
Open-source and MIT licensed, with an ongoing commitment to improvements and community contributions.
Real-World Applications
See how Shumai (Meta) can transform your workflow and boost productivity
Machine Learning Model Training
Train small to medium-sized machine learning models with fast FFI bindings and expressive syntax.
Data Preparation
Manipulate data effortlessly in JavaScript, preparing it for complex computations and training.
Scientific Research
Conduct research with powerful tensor computations, leveraged efficiently on both CPU and GPU architectures.
Application Development
Build applications with robust numerical computations backed by Shumai's high performance tensor operations.
Final Thoughts
Shumai stands out as a premier choice for developers and researchers needing a robust and performant differentiable tensor library in the JavaScript ecosystem, enhanced by the power of Bun + Flashlight.
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