gd-vae Goto Github PK
Name: GD-VAE: Geometric Dynamic Variational Autoencoders
Type: Organization
Bio: Codes for performing machine learning using the introduced Geometric Dynamic Variational Autoencoders.
GD-VAE: Geometric Dynamic Variational Autoencoders's Projects
gd-vae
Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This includes methods for standard latent spaces or manifold latent spaces with specified geometry and topology. The manifold latent spaces can be based on analytic expressions or general point cloud representations.
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