ruvector/examples/decompiler-dashboard/index.html
rUv 36f2599774 feat(training): source map extraction + v2 model (83.67% val accuracy)
- Extract 14,198 training pairs from 6,941 source maps in node_modules
- Train v2 model (4-layer, 192-dim, 6-head transformer, 1.9M params)
- Val accuracy: 83.67% (up from 75.72%), exact match: 12.3% (up from 0.1%)
- Export weights.bin (7.3MB) for Rust runtime inference
- Add decompiler dashboard (React + Tailwind + Vite)
- Add runnable RVF (7,350 vectors, 49 segments, witness chain)
- Update evaluate-model.py to support configurable model architectures
- All 13 Rust tests pass, all 45 RVF files have valid SFVR headers

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-03 04:57:47 +00:00

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HTML

<!DOCTYPE html>
<html lang="en" class="dark">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Decompiler Dashboard - RuVector</title>
<link rel="preconnect" href="https://fonts.googleapis.com" />
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin />
<link
href="https://fonts.googleapis.com/css2?family=JetBrains+Mono:wght@400;500;600;700&family=Inter:wght@400;500;600;700&display=swap"
rel="stylesheet"
/>
</head>
<body class="bg-[#0a0a0f] text-gray-200 antialiased">
<div id="root"></div>
<script type="module" src="/src/main.tsx"></script>
</body>
</html>