GitHub topics: angle-based-outlier-detection
MinersAI/geochemical_anomaly_detection
Functions and example notebooks for using/comparing different methods of geochemical multivariate outlier detection.
Language: Jupyter Notebook - Size: 6.22 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0
Ndaruga/Fraud-Detection-in-credit-cards-using-anormaly-detection
This project involves identifying unusual patterns or behaviors that may indicate fraudulent activity in credit cards. Anomaly detection algorithms work by learning patterns from historical data and then detecting deviations from those patterns in new data. Two algorithms have been utilized. i.e Autoencoders & Angle-based Outlier Detection (ABOD)
Language: Jupyter Notebook - Size: 104 MB - Last synced at: 11 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 1
miccaiif/DifABAL
PyTorch implementation of our paper "Rethinking Deep Active Learning for Medical Image Segmentation: A Diffusion and Angle-based Framework"
Language: Python - Size: 931 KB - Last synced at: 12 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
