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.
Stars: 9
Forks: 0
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 2.63 MB
Dependencies parsed at: Pending
Created at: about 1 year ago
Updated at: about 2 months ago
Pushed at: 10 months ago
Last synced at: 12 days ago
Topics: anomaly-detection, autoencoder, deep-learning, h5, keras, kernel-density-estimation, machine-learning, neural-network, tensorflow