Working with machine learning in TypeScript or JavaScript often means dealing with slow, clunky tools that weren't built with your workflow in mind. Shumai is an open-source, fast, network-connected, differentiable tensor library built specifically for TypeScript (and JavaScript) developers and researchers. Built on top of bun and flashlight, it's designed to tackle the things that slow you down: creating datasets more easily, training small models faster, and writing advanced training and inference logic that's expressive, fine-grained, and maintainable. The goal is simple — make building machine learning applications in the JS/TS ecosystem genuinely enjoyable.
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