Deep learning-based outlier/anomaly detection
☆578Jul 24, 2025Updated 10 months ago
Alternatives and similar repositories for DeepOD
Users that are interested in DeepOD are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.☆1,014Jan 8, 2026Updated 4 months ago
- ☆273Oct 9, 2023Updated 2 years ago
- a time series anomaly detection method based on the calibrated one-class classifier☆75Jul 25, 2025Updated 10 months ago
- About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://o…☆1,033Dec 29, 2023Updated 2 years ago
- Deep anomaly detection with scale learning☆12May 26, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆354Oct 24, 2025Updated 7 months ago
- [VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.☆687Jul 25, 2024Updated last year
- Official repository for the paper "When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly Detection", AA…☆52May 29, 2025Updated 11 months ago
- A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine…☆9,857May 19, 2026Updated last week
- TODS: An Automated Time-series Outlier Detection System☆1,660Sep 11, 2023Updated 2 years ago
- A Collection of Resources for Weakly-supervised Anomaly Detection (WSAD)☆183Feb 18, 2025Updated last year
- PyTorch implementation of Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy☆253Jan 24, 2023Updated 3 years ago
- SimAD, deep learning, anomaly detection, outlier detection, time series, TNNLS, 2025. "SimAD: A Simple Dissimilarity-based Approach for T…☆32Jan 19, 2026Updated 4 months ago
- A Python Library for Graph Outlier Detection (Anomaly Detection)☆1,496Nov 14, 2024Updated last year
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Unsupervised time series anomaly detection library☆1,355Updated this week
- Code of the paper 'Neural Transformation Learning for Anomaly Detection' published in ICML 2021☆50Apr 29, 2022Updated 4 years ago
- Time-Series Anomaly Detection Comprehensive Benchmark☆270Sep 28, 2025Updated 7 months ago
- A repository for code accompanying the manuscript 'An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series' (publish…☆108May 9, 2023Updated 3 years ago
- Time series anomaly detection algorithm implementations for TimeEval (Docker-based)☆170May 9, 2025Updated last year
- official implementation of RoSAS: Deep Semi-supervised Anomaly Detection with Contamination-resilient Continuous Supervision☆12Jul 18, 2023Updated 2 years ago
- Official code and data repository of "Anomaly Detection with Score Distribution Discrimination", KDD' 23.☆23Jul 3, 2023Updated 2 years ago
- An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimizat…☆5,756May 18, 2026Updated last week
- Evaluation Tool for Anomaly Detection Algorithms on Time Series☆160Apr 27, 2026Updated 3 weeks 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.
- Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot …☆155Aug 5, 2021Updated 4 years ago
- Scripts and utility programs for implementing the USAD architecture.☆269Mar 18, 2024Updated 2 years ago
- Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!☆9,296Mar 2, 2026Updated 2 months ago
- We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.☆574Nov 21, 2022Updated 3 years ago
- KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network☆927Mar 3, 2024Updated 2 years ago
- MTAD: Tools and Benchmark for Multivariate Time Series Anomaly Detection☆134Dec 18, 2024Updated last year
- A framework for easy running and evaluating your TSAD algorithm.☆126May 12, 2025Updated last year
- University Project for Anomaly Detection on Time Series data☆129Jun 28, 2024Updated last year
- Time-Series Anomaly Detection | Algorithms + Datasets + Tutorials☆268Apr 28, 2026Updated 3 weeks ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Official code repository for paper Zero-Shot Anomaly Detection via Batch Normalization (NeurIPS 2023).☆49Mar 6, 2024Updated 2 years ago
- Official Implement of "ADGym: Design Choices for Deep Anomaly Detection", NeurIPS 2023☆34Aug 23, 2023Updated 2 years ago
- ☆162Jun 12, 2024Updated last year
- List of implementation of SOTA deep anomaly detection methods☆109Dec 28, 2021Updated 4 years ago
- CARLA: A self-supervised contrastive learning model for time series anomaly detection. Enhances anomaly detection by learning robust repr…☆145Mar 18, 2025Updated last year
- TVDiag: A Task-oriented and View-invariant Failure Diagnosis Framework with Multimodal Data☆16Apr 28, 2025Updated last year
- ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph dat…☆440Oct 1, 2025Updated 7 months ago