jsgrad-org/jsgrad
jsgrad is a dependency-free ML library in Typescript for model inference and training with support to WebGPU and other runtimes.
This library helps JavaScript/TypeScript developers integrate machine learning capabilities directly into web browsers or Node.js environments. It takes numerical data, often in the form of tensors, and applies machine learning operations to produce results like model predictions or training updates. Web and backend JavaScript developers are the primary users.
No commits in the last 6 months.
Use this if you are a JavaScript/TypeScript developer who needs to build or run machine learning models directly within web applications, Node.js, Deno, or Bun environments without external dependencies.
Not ideal if you are an end-user without programming experience or are working exclusively in Python or other non-JavaScript machine learning ecosystems.
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Language
TypeScript
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Last pushed
Apr 21, 2025
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