44 lines
1.0 KiB
JSON
44 lines
1.0 KiB
JSON
{
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"name": "@ruvector/learning-wasm",
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"type": "module",
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"collaborators": [
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"rUv <ruvnet@users.noreply.github.com>"
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],
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"author": "RuVector Team <ruvnet@users.noreply.github.com>",
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"description": "Ultra-fast MicroLoRA adaptation for WASM - rank-2 LoRA with <100us latency for per-operator learning",
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"version": "0.1.29",
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"license": "MIT OR Apache-2.0",
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"repository": {
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"type": "git",
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"url": "https://github.com/ruvnet/ruvector"
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},
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"bugs": {
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"url": "https://github.com/ruvnet/ruvector/issues"
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},
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"files": [
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"ruvector_learning_wasm_bg.wasm",
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"ruvector_learning_wasm.js",
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"ruvector_learning_wasm.d.ts",
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"ruvector_learning_wasm_bg.wasm.d.ts",
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"README.md"
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],
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"main": "ruvector_learning_wasm.js",
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"homepage": "https://ruv.io",
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"types": "ruvector_learning_wasm.d.ts",
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"sideEffects": [
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"./snippets/*"
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],
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"keywords": [
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"lora",
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"machine-learning",
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"wasm",
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"neural-network",
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"adaptation",
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"ruvector",
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"webassembly",
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"ai",
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"deep-learning",
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"micro-lora"
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]
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}
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