A python library to compute the graph Ricci curvature and Ricci flow on NetworkX graph.
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.
A Geometric Framework for Pangenome Graph Alignment via Ricci Flow
A repository of Mathematica notebooks useful in a report of mine: "A beginner's guide of weak gravity conjecture"
The Poincaré Conjecture: A Reframed Optimization of the Hamilton-Perelman Proof
Unified framework combining Riemannian Wave Classification (RWC) and Geometric Wave Learning (GWL). Treats supervised learning as quantum resonance (Breit-Wigner/Lorentzian) on label-driven discrete Ricci-flow manifolds, using holographic radial frequency (HRF) kernels and polychromatic spectral ensembles.
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