8 results found Sort:
A PyTorch implementation of the Deep SVDD anomaly detection method
Created
2018-10-15
82 commits to master branch, last one 5 years ago
Deep learning-based outlier/anomaly detection
Created
2022-10-28
330 commits to main branch, last one 2 months ago
A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.
Created
2019-06-14
11 commits to master branch, last one 4 years ago
Repository for the Explainable Deep One-Class Classification paper
Created
2020-07-05
40 commits to master branch, last one about a year ago
List of implementation of SOTA deep anomaly detection methods
Created
2021-10-05
13 commits to main branch, last one 2 years ago
Code underlying our publication "Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection" at ICPR2020
Created
2020-10-16
9 commits to main branch, last one about a year ago
A PyTorch implementation of Context Vector Data Description (CVDD), a method for Anomaly Detection on text.
Created
2019-07-08
13 commits to master branch, last one 5 years ago
Official repository for survey paper "Deep Graph Anomaly Detection: A Survey and New Perspectives", including diverse types of resources for graph anomaly detection.
Created
2023-11-05
83 commits to main branch, last one 12 hours ago