tGPLVM: A Nonparametric, Generative Model for Manifold Learning with scRNA-seq experimental data
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Updated
Jun 4, 2019 - Python
tGPLVM: A Nonparametric, Generative Model for Manifold Learning with scRNA-seq experimental data
Implementations of 3 linear and non-linear dimensionality reduction algorithms
Some knowledge about manifolds ![]()
Advanced anomaly detection using topological data analysis and manifold learning.
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.
Operationalizing Cognitional Mechanics (CM) on classical hardware. Proving that non-commutativity is a structural resource, not just a physical phenomenon.
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