Bewaard in:
| Hoofdauteur: | |
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| Formaat: | Recurso digital |
| Taal: | |
| Gepubliceerd in: |
Zenodo
2026
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| Onderwerpen: | |
| Online toegang: | https://doi.org/10.5281/zenodo.20160827 |
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Inhoudsopgave:
- 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.