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Bibliographic Details
Main Author:	Muhammad, Akhyar
Format:	Recurso digital
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Published:	Zenodo 2026
Subjects:	machine-learning typescript rust napi-rs monorepo neural-networks transformers deep-learning high-performance-computing
Online Access:	https://doi.org/10.5281/zenodo.20072074
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Oxide-JS (formerly ML-V1) is a high-performance, modular machine learning library for TypeScript, accelerated by optimized Rust kernels via NAPI-RS. This library serves as the successor to the ML-V1 stability research artifacts (v2.3.0) used in the empirical analysis of recurrent neural networks for Indonesian sentiment classification.