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principal-angles

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saaga0h / grassmann-distance

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Conceptual path finding in high-dimensional embedding space via Grassmann manifold geometry. Replaces cosine similarity with tangent space distance — paths follow domain-coherent lanes instead of converging to vocabulary hubs. GPU-accelerated Julia compute worker

julia julia-language semantic-search manifold-learning amdgpu high-dimensional principal-angles tangent-space grassmann-manifold graph-topology gpu-compute embedding-similarity retrieval-metrics grassmann-distance conceptual-paths kernel-abstractions local-pca
  • Updated May 10, 2026
  • Julia

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