18 lines
792 B
JSON
18 lines
792 B
JSON
{
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"name": "@ruvector/attention",
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"version": "0.1.32",
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"description": "High-performance attention mechanisms with 7 mathematical theories: Optimal Transport, Mixed Curvature, Topology, Information Geometry, Information Bottleneck, PDE/Diffusion, Unified Diagnostics",
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"main": "index.js",
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"types": "index.d.ts",
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"license": "MIT",
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"repository": "https://github.com/ruvnet/ruvector",
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"keywords": ["attention", "transformer", "machine-learning", "optimal-transport", "hyperbolic", "topology"],
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"optionalDependencies": {
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"@ruvector/attention-linux-x64-gnu": "0.1.32",
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"@ruvector/attention-linux-arm64-gnu": "0.1.32",
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"@ruvector/attention-darwin-x64": "0.1.32",
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"@ruvector/attention-darwin-arm64": "0.1.32",
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"@ruvector/attention-win32-x64-msvc": "0.1.32"
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}
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}
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