Show HN: AI latent space with overlapping manifolds
This project presents a novel approach to AI latent space, using topological manifolds (sphere and torus) and advanced loss functions (curvature alignment, Casimir entropy, geodesic regularization) to build overlapping manifolds. The code implements adaptive topology configuration, smooth leaky guardrails, and gradient flow protection to improve learning of high-dimensional representations.
Show HN: AI latent space with overlapping manifolds
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