Research-grade PyTorch math: differential geometry, spectral graph theory, discrete Ricci flow, simplicial topology, persistent homology, cellular sheaves, SO(3) Lie primitives, information geometry, tensor decompositions, content-addressable provenance. GPU-native, batched-first, audit-clean, cited.
pytorch simplicial-complexes differential-geometry gpu-computing lie-groups directed-graphs ricci-flow hyperbolic-geometry optimal-transport persistent-homology topological-data-analysis geometric-deep-learning ricci-curvature information-geometry cellular-sheaves graph-laplacian spectral-graph-theory mechanistic-interpretability hodge-laplacian riemannian-manifolds
-
Updated
Jul 8, 2026 - Python