latent-spaces topic

Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (beta-VAE). Replication of results as described in article "Self-Supervised Learning for Tool Wear Mo...

tvhahn

Code accompanying NCA paper titled "Attribute-based Regularization of Latent Spaces for Variational Auto-Encoders"

ashispati

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...

gd-vae