GitHub / Gustoaxel / Statistical-autoencoder
An efficient diagnostic that uses the latent space of a Non-Parametric Supervised Autoencoder for metabolomic datasets of clinical studies.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gustoaxel%2FStatistical-autoencoder
PURL: pkg:github/Gustoaxel/Statistical-autoencoder
Stars: 1
Forks: 0
Open issues: 0
License: mit
Language: Python
Size: 18.9 MB
Dependencies parsed at: Pending
Created at: about 4 years ago
Updated at: over 1 year ago
Pushed at: almost 4 years ago
Last synced at: over 1 year ago
Topics: auto-encoder, deep-learning, healthcare, ia, machine-learning
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