deep-anomaly-detection

There are 1 repository under deep-anomaly-detection topic.

lukasruff / Deep-SVDD-PyTorch
A PyTorch implementation of the Deep SVDD anomaly detection method
anomaly-detection deep-anomaly-detection deep-learning icml-2018 machine-learning one-class-learning python pytorch
Language:Python 766
xuhongzuo / DeepOD
Deep learning-based outlier/anomaly detection
anomaly-detection deep-anomaly-detection outlier-detection
Language:Python 551
lukasruff / Deep-SAD-PyTorch
A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.
anomaly-detection deep-anomaly-detection deep-learning machine-learning one-class-learning python python3 pytorch semi-supervised-learning
Language:Python 347
lukasruff / Deep-SVDD
Repository for the Deep One-Class Classification ICML 2018 paper
anomaly-detection deep-anomaly-detection deep-learning icml-2018 machine-learning one-class-learning python theano
Language:Python 258
liznerski / fcdd
Repository for the Explainable Deep One-Class Classification paper
anomaly-detection deep-learning one-class-learning xai explanations explainable-deepneuralnetwork machine-learning deep-anomaly-detection pytorch python mvtec-ad
Language:Python 235
mala-lab / Awesome-Deep-Graph-Anomaly-Detection
Official repository for 2025 TKDE survey paper "Deep Graph Anomaly Detection: A Survey and New Perspectives", including diverse types of resources for graph anomaly detection
anomaly-detection deep-anomaly-detection graph-anomaly-detection graph-neural-netowrks graph-representation-learning
166
GuansongPang / SOTA-Deep-Anomaly-Detection
List of implementation of SOTA deep anomaly detection methods
anomaly-detection deep-anomaly-detection one-class-classification outlier-detection deep-learning
109
ORippler / gaussian-ad-mvtec
Code underlying our publication "Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection" at ICPR2020
mvtec anomaly-detection deep-anomaly-detection transfer-learning one-class-classification mvtec-ad
Language:Python 103
lukasruff / CVDD-PyTorch
A PyTorch implementation of Context Vector Data Description (CVDD), a method for Anomaly Detection on text.
anomaly-detection attention-mechanism deep-anomaly-detection deep-learning machine-learning nlp one-class-learning python python3 pytorch self-attention
Language:Python 71
lukasruff / Classification-AD
Repository for the paper "Rethinking Assumptions in Anomaly Detection"
anomaly-detection deep-anomaly-detection deep-learning machine-learning one-class-classification one-class-learning python python3 pytorch
Language:Python 36
liznerski / eoe
Repository for the Exposing Outlier Exposure paper
anomaly-detection bce cifar-10 bce-cl clip clip-ad cub deep-anomaly-detection deep-learning dtd hsc imagenet machine-learning mvtec-ad one-class-learning outlier-detection outlier-exposure python pytorch
Language:Python 12
mala-lab / DevNet
Official implementation of KDD'19 paper "Deep Anomaly Detection with Deviation Networks"
anomaly-detection deep-anomaly-detection deviation-network
Language:Python 2
dsat4301 / anomaly_detection
Implementation of anomaly detection approaches as scikit-learn estimators
anomaly-detection deep-anomaly-detection deep-learning machine-learning python pytorch scikit-learn
Language:Python 1
mala-lab / SOTA-Deep-Anomaly-Detection
List of implementation of SOTA deep anomaly detection methods
anomaly-detection deep-anomaly-detection deep-learning deep-neural-networks
0