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neural-geometry

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Adaptive interpolatory curve subdivision with learned per-edge insertion angles, evaluated across the Euclidean plane, the two-sphere, and the Poincaré disk. The classical fixed-tension parameter is replaced by a learned local-angle predictor, while interpolation is preserved as a structural property of the operator.

  • Updated May 21, 2026
  • Python

Lightweight exploratory toolkit inspired by Goodfire-style neural-geometry experiments — find circular representations, Fourier features, and modular-arithmetic geometry in LLM activations. Not affiliated with Goodfire.

  • Updated May 17, 2026
  • Python

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