mirror of
https://github.com/ruvnet/RuVector.git
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5bad08c6a3
Implement complete SONA system with: - LoRA-Ultra: Adaptive low-rank adaptation for efficient fine-tuning - Learning Loops: Instant, background, and coordinated learning modes - EWC++: Enhanced elastic weight consolidation for continual learning - ReasoningBank: Trajectory storage with verdict-based learning - WASM bindings for browser deployment - N-API bindings for Node.js integration - Comprehensive documentation and benchmarks New crate: crates/sona with full implementation Integration: examples/ruvLLM with SONA module NPM package: npm/packages/sona for JavaScript bindings 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
20 lines
525 B
JSON
20 lines
525 B
JSON
{
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"name": "sona-wasm-example",
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"version": "0.1.0",
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"description": "SONA WASM Example - Self-Optimizing Neural Architecture in the browser",
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"type": "module",
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"scripts": {
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"build": "cd .. && wasm-pack build --target web --features wasm --out-dir wasm-example/pkg",
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"serve": "python3 -m http.server 8080",
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"dev": "npm run build && npm run serve"
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},
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"keywords": [
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"wasm",
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"neural",
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"learning",
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"lora",
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"adaptive"
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],
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"author": "RuVector Team",
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"license": "MIT OR Apache-2.0"
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}
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