GitHub / eshansurendra / cell_anomaly_detection_using_autoencoders
This repository offers a TensorFlow-based anomaly detection system for cell images using adversarial autoencoders, capable of identifying anomalies even in contaminated datasets. Check out our code, pretrained models, and papers for more details.
étoiles: 9
forks: 0
issues ouvertes: 0
licence: mit
langage: Jupyter Notebook
taille: 2,63 Mo
dépendances analysées: En attente
date de création: il y a environ un an
date de mise à jour: il y a 3 mois
enregistré: il y a 12 mois
dernière synchronisation: il y a 2 mois
Sujets: anomaly-detection, autoencoder, deep-learning, h5, keras, kernel-density-estimation, machine-learning, neural-network, tensorflow