| Name | Shumai (by Meta) |
| Overview | Shumai is an open-source and high-performance tensor library developed by Meta, designed for both TypeScript and JavaScript. It facilitates the creation and manipulation of differentiable tensors, allowing developers and researchers to build complex machine learning models and advanced data analytical applications. With its network connectivity capabilities, Shumai enables efficient data processing and integration with various services, making it a valuable tool for modern application development. |
| Key features & benefits |
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| Use cases and applications |
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| Who uses? | Machine learning engineers, data scientists, TypeScript developers, JavaScript developers. |
| Pricing | Free and open-source. |
| Tags | Tensors, Differentiable Programming, Machine Learning, Data Science |
| App available? | No |
Shumai (by Meta)
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Overview
Discover Shumai (by Meta), an open-source tensor library for TypeScript and JavaScript that simplifies machine learning and data analysis. Ideal for developers and data scientists, it offers key features like differentiable tensors and network connectivity—all for free!
Category: Development
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