| MOSPAT: AutoML based Model Selection and Parameter Tuning for Time Series Anomaly Detection | May 24, 2022 | Anomaly DetectionAutoML | CodeCode Available | 5 | 5 |
| AER: Auto-Encoder with Regression for Time Series Anomaly Detection | Dec 27, 2022 | Anomaly DetectionBenchmarking | CodeCode Available | 3 | 5 |
| The Elephant in the Room: Towards A Reliable Time-Series Anomaly Detection Benchmark | Sep 26, 2024 | Anomaly DetectionBenchmarking | CodeCode Available | 3 | 5 |
| MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly Detection | Jan 10, 2024 | Anomaly DetectionTime Series | CodeCode Available | 2 | 5 |
| Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy | Oct 6, 2021 | Anomaly DetectionTime Series | CodeCode Available | 2 | 5 |
| DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection | Jun 17, 2023 | Anomaly DetectionContrastive Learning | CodeCode Available | 2 | 5 |
| TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models | Feb 16, 2024 | Anomaly DetectionTime Series | CodeCode Available | 2 | 5 |
| PyPOTS: A Python Toolbox for Data Mining on Partially-Observed Time Series | May 30, 2023 | Anomaly DetectionClassification | CodeCode Available | 2 | 5 |
| TAB: Unified Benchmarking of Time Series Anomaly Detection Methods | Jun 22, 2025 | Anomaly DetectionBenchmarking | CodeCode Available | 2 | 5 |
| TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks | Sep 16, 2020 | Anomaly DetectionBenchmarking | CodeCode Available | 2 | 5 |
| CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching | Oct 16, 2024 | Anomaly DetectionTime Series | CodeCode Available | 2 | 5 |
| dtaianomaly: A Python library for time series anomaly detection | Feb 20, 2025 | Anomaly DetectionTime Series | CodeCode Available | 2 | 5 |
| European Space Agency Benchmark for Anomaly Detection in Satellite Telemetry | Jun 25, 2024 | Anomaly DetectionTime Series | CodeCode Available | 2 | 5 |
| LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection | Jul 1, 2016 | Anomaly DetectionDecoder | CodeCode Available | 2 | 5 |
| Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective | Feb 5, 2024 | Anomaly DetectionTime Series | CodeCode Available | 2 | 5 |
| Large language models can be zero-shot anomaly detectors for time series? | May 23, 2024 | Anomaly DetectionLanguage Modeling | CodeCode Available | 2 | 5 |
| VUS: Effective and Efficient Accuracy Measures for Time-Series Anomaly Detection | Feb 18, 2025 | Anomaly DetectionInformation Retrieval | CodeCode Available | 2 | 5 |
| Deep Learning for Time Series Anomaly Detection: A Survey | Nov 9, 2022 | Anomaly DetectionDeep Learning | CodeCode Available | 1 | 5 |
| Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly Detection | Feb 15, 2022 | Anomaly DetectionMissing Values | CodeCode Available | 1 | 5 |
| DEGAN: Time Series Anomaly Detection using Generative Adversarial Network Discriminators and Density Estimation | Oct 5, 2022 | Anomaly DetectionDensity Estimation | CodeCode Available | 1 | 5 |
| Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection | Jul 17, 2023 | Anomaly DetectionGraph Learning | CodeCode Available | 1 | 5 |
| An Unsupervised Short- and Long-Term Mask Representation for Multivariate Time Series Anomaly Detection | Aug 19, 2022 | Anomaly DetectionRepresentation Learning | CodeCode Available | 1 | 5 |
| Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress | Sep 29, 2020 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| Deep Contrastive One-Class Time Series Anomaly Detection | Jul 4, 2022 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 | 5 |
| Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection | Jul 25, 2022 | Anomaly DetectionOne-Class Classification | CodeCode Available | 1 | 5 |
