topometry

The initial release of TopOMetry. As of now, users can:

• Learn topological metrics with diffusion harmonics and continuous k-nearest-neighbors
• Learn topological basis with multiscale Diffusion Maps, or with diffuse or continuous Laplacian Eigenmaps
• Learn topological graphs from the learned basis
• Optimize the graph layout with an adapted UMAP implementation
• Use pyMDE within TopOMetry