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svmjs is a lightweight JavaScript implementation of the SMO algorithm for training binary Support Vector Machines, supporting both linear and RBF kernels (or any custom kernel) and offering serialization, a browser demo, and a Node.js package. It’s aimed at developers and researchers who need an easy‑to‑embed, client‑side or server‑side SVM solution for small‑to‑moderate sized datasets.

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karpathy

karpathy/svmjs

Support Vector Machine in Javascript (SMO algorithm, supports arbitrary kernels) + GUI demo

JavaScript
706
153
MIT License