GitHub / peterparity / conservation-laws-manifold-learning
Discovering Conservation Laws using Optimal Transport and Manifold Learning
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PURL: pkg:github/peterparity/conservation-laws-manifold-learning
Stars: 7
Forks: 3
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 14 MB
Dependencies parsed at: Pending
Created at: over 3 years ago
Updated at: over 1 year ago
Pushed at: almost 2 years ago
Last synced at: over 1 year ago
Topics: chaos, conservation-laws, diffusion-maps, integrable-systems, jax, laplacian-eigenmaps, machine-learning, manifold-learning, optimal-transport, physics, wasserstein-distance