GitHub topics: latent-spaces
gd-vae/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.
Language: TeX - Size: 29.7 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 29 - Forks: 1
bodin-e/linear-combinations-of-latents
Implementation of LOL from "Linear Combinations of Latents in Generative Models: Subspaces and Beyond"
Language: Jupyter Notebook - Size: 19.6 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 1 - Forks: 0
katiana22/latent-deeponet
Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."
Language: Python - Size: 3.54 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 58 - Forks: 16
tvhahn/ml-tool-wear
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 Monitoring with a Disentangled-Variational-Autoencoder"
Language: Jupyter Notebook - Size: 24.1 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 52 - Forks: 20
Hackathorn/LS_Workshop
Exploring N-dimensional latent spaces generated by neural variational autoencoders
Language: C# - Size: 632 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
ashispati/ar-vae
Code accompanying NCA paper titled "Attribute-based Regularization of Latent Spaces for Variational Auto-Encoders"
Language: Python - Size: 5.42 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 20 - Forks: 7
