{"data":{"full_name":"eshansurendra/cell_anomaly_detection_using_autoencoders","name":"cell_anomaly_detection_using_autoencoders","description":"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":8.0,"forks":0.0,"language":"Jupyter Notebook","license":"MIT","archived":0.0,"subcategory":"anomaly-detection-systems","last_pushed_at":"2024-06-17T12:56:22+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":0.0,"adoption_score":4.0,"maturity_score":16.0,"community_score":0.0,"quality_score":20.0,"quality_tier":"experimental","risk_flags":"['stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-12T08:55:17.832312+00:00"}}