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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.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/eshansurendra%2Fcell_anomaly_detection_using_autoencoders

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

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