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.
☆42Aug 15, 2025Updated last year
Alternatives and similar repositories for DACAD
Users that are interested in DACAD are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- CARLA: A self-supervised contrastive learning model for time series anomaly detection. Enhances anomaly detection by learning robust repr…☆158Mar 18, 2025Updated last year
- ☆275Oct 9, 2023Updated 3 years ago
- A Multi-scale Transformers with Contrastive Learning for UAV anomaly detection with flight data (MTCL-UAV)☆17Oct 18, 2025Updated last year
- This is a PyTorch implementation of the paper: GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causal…☆18May 9, 2025Updated last year
- Official Implementation of DualTF(WWW24)☆30Apr 30, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆28Oct 18, 2024Updated 2 years ago
- Time-Series Anomaly Detection Comprehensive Benchmark☆290Sep 28, 2025Updated last year
- CoGenCast: A Coupled Autoregressive–Flow Generative Framework for Time Series Forecasting☆11May 31, 2026Updated 5 months ago
- Code for ICASSP 2024 paper "Unravel Anomalies: An End-to-end Seasonal-Trend Decomposition Approach for Time Series Anomaly Detection".☆17Apr 18, 2024Updated 2 years ago
- Fault detection on real flight data using machine learning☆31Nov 4, 2022Updated 4 years ago
- [ICLR 2025] CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching☆209Dec 30, 2025Updated 10 months ago
- ☆19Sep 4, 2023Updated 3 years ago
- Multivariate Time Series Anomaly Detection by Capturing Coarse-Grained Intra- and Inter-Variate Dependencies☆17Feb 13, 2025Updated last year
- Source-free domain adaptation research☆13May 14, 2026Updated 5 months ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- [ICDE'2024] Temporal-Frequency Masked Autoencoders for Time Series Anomaly Detection☆40Jul 26, 2024Updated 2 years ago
- ☆15Jul 21, 2026Updated 3 months ago
- Code support as a published paper！☆77Apr 29, 2024Updated 2 years ago
- Official PyTorch implementation for "Learning Sparse Latent Graph Representations for Anomaly Detection in Multivariate Time Series" (KDD…☆40Oct 13, 2023Updated 3 years ago
- Source code for the paper "UAC-AD: Unsupervised Adversarial Contrastive Learning for Anomaly Detection on Multi-source Data"☆11Feb 29, 2024Updated 2 years ago
- PatchAD, TBD 2025, deep learning, anomaly detection, outlier detection, time series, PatchAD: A Lightweight Patch-based MLP-Mixer for Tim…☆51Aug 18, 2025Updated last year
- Thesis project about Visual Anomaly Detection based on Self Supervised Learning. The model identifies anomalies from information acquired…☆11Apr 14, 2023Updated 3 years ago
- Official implmentation of AAAI'23 paper 'Detecting Multivariate Time Series Anomalies with Zero Known Label'.☆81Jul 26, 2024Updated 2 years ago
- Multivariate Time-Series Anomaly Detection with GNN.☆91Nov 14, 2023Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- SimAD, deep learning, anomaly detection, outlier detection, time series, TNNLS, 2025. "SimAD: A Simple Dissimilarity-based Approach for T…☆35Jan 19, 2026Updated 9 months ago
- [PVLDB 2025] TAB: Unified Benchmarking of Time Series Anomaly Detection Methods☆146Nov 26, 2025Updated 11 months ago
- Contrastive Learning for Domain Adaptation of Time Series☆96Apr 11, 2024Updated 2 years ago
- Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection (ICML 2025)☆37Aug 14, 2025Updated last year
- Code repository of “Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis”☆35Dec 26, 2024Updated last year
- Official repository for “PATE: Proximity-Aware Time series anomaly Evaluation”.☆19Dec 19, 2024Updated last year
- ☆11Sep 2, 2025Updated last year
- Conformal Prediction Intervals for Remaining Useful Lifetime Estimation (IJPHM 2023)☆21Jul 26, 2023Updated 3 years ago
- Official repository for the paper "When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly Detection", AA…☆54May 29, 2025Updated last year
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- [KDD 2026] Official implementation of "TimeDistill: Efficient Long-Term Time Series Forecasting with MLPs via Cross-Architecture Distilla…☆38Mar 22, 2026Updated 7 months ago
- A PyTorch implimentation of a conditional Dynamical Variational Autoencoder for remaining useful life estimation☆13Sep 20, 2023Updated 3 years ago
- Codebase for the ICKG 2023 paper: "GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection".☆24Feb 16, 2024Updated 2 years ago
- Pytorch implementation of Adversarial Discriminative Domain Adaptation☆14Mar 20, 2020Updated 6 years ago
- The source code of the model: Multi-Scale Graph Convolutional Network with Contrastive-Learning enhanced Self-attention Pooling (MSGCN-CS…☆18May 12, 2026Updated 5 months ago
- [TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data☆242Jun 7, 2023Updated 3 years ago
- GHRS: Graph-based hybrid recommendation system with application to movie recommendation☆37Nov 12, 2024Updated last year