Shumai
Shumai is an open-source tensor library for TypeScript and JavaScript, offering rapid dataset creation, fast model training, expressive logic development, and enjoyable application building experiences.
Description for Shumai
Shumai is an open-source tensor library tailored for TypeScript and JavaScript, renowned for its differentiability and rapid network connectivity, catering to software architects and researchers.
Features of Shumai:
- Creation of Datasets: Facilitates dataset creation using JavaScript, leveraging JIT compilation and native typed arrays for efficient manipulation of data before generating GPU-compatible arrays.
- Fast Training of Small Models: Utilizes Bun's rapid (3ns) FFI bindings, eliminating the need for JavaScript when training small models, ensuring swift training processes.
- Expressive Training/Inference Logic: Empowers users to develop intricate training logic without native C++ implementation, courtesy of Bun's JSC JIT compiler, enhancing the expressiveness of advanced/fine-grained logic.
- Enjoyable Application Development: Leverages the extensive JavaScript ecosystem for more enjoyable and efficient application development, making the process enjoyable for developers.
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