mirror of
https://github.com/ruvnet/RuVector.git
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- 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>
32 lines
782 B
JSON
32 lines
782 B
JSON
{
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"name": "decompiler-dashboard",
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"private": true,
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"version": "1.0.0",
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"type": "module",
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"scripts": {
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"dev": "vite",
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"build": "tsc -b && vite build",
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"preview": "vite preview",
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"prebuild:data": "node scripts/copy-research-data.mjs"
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},
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"dependencies": {
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"react": "^18.3.1",
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"react-dom": "^18.3.1",
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"react-router-dom": "^6.26.2",
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"highlight.js": "^11.10.0",
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"js-beautify": "^1.15.1",
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"jszip": "^3.10.1",
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"diff": "^7.0.0"
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},
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"devDependencies": {
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"@types/react": "^18.3.12",
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"@types/react-dom": "^18.3.1",
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"@types/diff": "^6.0.0",
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"@vitejs/plugin-react": "^4.3.4",
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"autoprefixer": "^10.4.20",
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"postcss": "^8.4.49",
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"tailwindcss": "^3.4.16",
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"typescript": "^5.6.3",
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"vite": "^6.0.3"
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}
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}
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