zamanzadeh / DACAD
Domain Adaptation Contrastive learning model for Anomaly Detection in multivariate time series (DACAD), combining UDA with contrastive learning. DACAD utilizes an anomaly injection mechanism that enhances generalization across unseen anomalous classes, improving adaptability and robustness.
☆13Updated 8 months ago
Alternatives and similar repositories for DACAD:
Users that are interested in DACAD are comparing it to the libraries listed below
- Official repository for the paper "When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly Detection", AA…☆29Updated 2 months ago
- SimAD, deep learning, anomaly detection, outlier detection, time series. "SimAD: A Simple Dissimilarity-based Approach for Time Series An…☆17Updated 7 months ago
- Code repository of “Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis”☆21Updated 4 months ago
- Welcome to the official repository for the paper "Unraveling the 'Anomaly' in Time Series Anomaly Detection: A Self-supervised Tri-domain…☆21Updated last year
- Official repository for TimeDRL: Disentangled Representation Learning for Multivariate Time-Series, accepted at ICDE 2024.☆21Updated last year
- Implementation of FGANomaly☆17Updated 3 years ago
- The implement of An Unsupervised Short- and Long-Term Mask Representation for Multivariate Time Series Anomaly Detection☆21Updated last year
- PatchAD, deep learning, anomaly detection, outlier detection, time series, PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series A…☆26Updated 9 months ago
- The official code of the paper "MF-CLR: Multi-Frequency Contrastive Learning Representation for Time Series" [ICML 2024].