mirror of
https://github.com/ruvnet/RuVector.git
synced 2026-05-24 13:54:31 +00:00
WASM Packages (published to npm as @ruvector/*): - learning-wasm (39KB): MicroLoRA rank-2 adaptation with <100us latency - economy-wasm (182KB): CRDT-based autonomous credit economy - exotic-wasm (150KB): NAO governance, Time Crystals, Morphogenetic Networks - nervous-system-wasm (178KB): HDC, BTSP, WTA, Global Workspace - attention-unified-wasm (339KB): 18+ attention mechanisms (Neural, DAG, Graph, Mamba) Changes: - Add ruvector-attention-unified-wasm crate with unified attention API - Add ruvector-economy-wasm crate with CRDT ledger and reputation - Add ruvector-exotic-wasm crate with emergent AI mechanisms - Add ruvector-learning-wasm crate with MicroLoRA adaptation - Add ruvector-nervous-system-wasm crate with bio-inspired components - Fix ruvector-dag for WASM compatibility (feature flags) - Add exotic AI capabilities to edge-net example - Update README with WASM documentation - Include pkg/ directories with built WASM bundles 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
43 lines
1 KiB
JSON
43 lines
1 KiB
JSON
{
|
|
"name": "@ruvector/learning-wasm",
|
|
"type": "module",
|
|
"collaborators": [
|
|
"rUv <ruvnet@users.noreply.github.com>"
|
|
],
|
|
"author": "RuVector Team <ruvnet@users.noreply.github.com>",
|
|
"description": "Ultra-fast MicroLoRA adaptation for WASM - rank-2 LoRA with <100us latency for per-operator learning",
|
|
"version": "0.1.29",
|
|
"license": "MIT OR Apache-2.0",
|
|
"repository": {
|
|
"type": "git",
|
|
"url": "https://github.com/ruvnet/ruvector"
|
|
},
|
|
"bugs": {
|
|
"url": "https://github.com/ruvnet/ruvector/issues"
|
|
},
|
|
"files": [
|
|
"ruvector_learning_wasm_bg.wasm",
|
|
"ruvector_learning_wasm.js",
|
|
"ruvector_learning_wasm.d.ts",
|
|
"ruvector_learning_wasm_bg.wasm.d.ts",
|
|
"README.md"
|
|
],
|
|
"main": "ruvector_learning_wasm.js",
|
|
"homepage": "https://ruv.io",
|
|
"types": "ruvector_learning_wasm.d.ts",
|
|
"sideEffects": [
|
|
"./snippets/*"
|
|
],
|
|
"keywords": [
|
|
"lora",
|
|
"machine-learning",
|
|
"wasm",
|
|
"neural-network",
|
|
"adaptation",
|
|
"ruvector",
|
|
"webassembly",
|
|
"ai",
|
|
"deep-learning",
|
|
"micro-lora"
|
|
]
|
|
}
|