GitHub / an-seunghwan / DistVAE-Tabular
Official implementation of 'Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation' (DistVAE) with pytorch (NeurIPS 2023 accepted paper).
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/an-seunghwan%2FDistVAE-Tabular
PURL: pkg:github/an-seunghwan/DistVAE-Tabular
Stars: 3
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 78.1 KB
Dependencies parsed at: Pending
Created at: about 1 year ago
Updated at: about 1 month ago
Pushed at: 9 months ago
Last synced at: 20 days ago
Topics: continuous-ranked-probability-score, crps, distributional-learning, mixed-type, synthetic-data, tabular-data, variational-autoencoder