ruvector-attention-wasm/package.json

High-performance attention mechanisms for WebAssembly - Transformer, Hyperbolic, Flash, MoE, and Graph attention

{
  "name": "ruvector-attention-wasm",
  "version": "0.1.0",
  "type": "module",
  "description": "High-performance attention mechanisms for WebAssembly - Transformer, Hyperbolic, Flash, MoE, and Graph attention",
  "license": "MIT OR Apache-2.0",
  "repository": {
    "type": "git",
    "url": "https://github.com/ruvnet/ruvector"
  },
  "homepage": "https://github.com/ruvnet/ruvector",
  "author": "rUv <ruv@ruv.io>",
  "keywords": [
    "wasm",
    "webassembly",
    "attention",
    "transformer",
    "machine-learning",
    "neural-networks",
    "hyperbolic",
    "moe",
    "flash-attention",
    "graph-attention",
    "rust"
  ],
  "files": [
    "ruvector_attention_wasm_bg.wasm",
    "ruvector_attention_wasm.js",
    "ruvector_attention_wasm.d.ts",
    "ruvector_attention_wasm_bg.wasm.d.ts"
  ],
  "main": "ruvector_attention_wasm.js",
  "types": "ruvector_attention_wasm.d.ts",
  "sideEffects": [
    "./snippets/*"
  ]
}