GitHub / rsyamil / latent-space-inversion-lsi
Joint parameterization and direct history-matching method for engineering systems. LSI simultaneously extracts salient spatial and temporal features for direct inversion. Exploration of meaningful latent spaces allows rapid generation of ensemble of relevant inversion solutions.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rsyamil%2Flatent-space-inversion-lsi
PURL: pkg:github/rsyamil/latent-space-inversion-lsi
Stars: 2
Forks: 2
Open issues: 2
License: apache-2.0
Language: Jupyter Notebook
Size: 69.7 MB
Dependencies parsed at: Pending
Created at: over 4 years ago
Updated at: about 4 years ago
Pushed at: about 4 years ago
Last synced at: about 2 years ago
Topics: dimensionality-reduction, feature-extraction, history-matching, latent-space-inversion, lsi, multitask-learning