List of implementation of SOTA deep anomaly detection methods
☆109Dec 28, 2021Updated 4 years ago
Alternatives and similar repositories for SOTA-Deep-Anomaly-Detection
Users that are interested in SOTA-Deep-Anomaly-Detection are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph dat…☆447Oct 1, 2025Updated last year
- Papers on trustworthy anomaly detection☆28Apr 18, 2024Updated 2 years ago
- Resources and environment for unsupervised outlier model selection (UOMS)☆28Oct 21, 2022Updated 3 years ago
- ☆12Feb 22, 2023Updated 3 years ago
- Deep distance-based outlier detection published in KDD18: Learning representations specifically for distance-based outlier detection. Few…☆49Nov 10, 2020Updated 5 years ago
- 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.
- Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)☆35Dec 12, 2021Updated 4 years ago
- A Collection of Resources for Weakly-supervised Anomaly Detection (WSAD)☆184Feb 18, 2025Updated last year
- ☆14Mar 24, 2023Updated 3 years ago
- Official code and data repository of "Anomaly Detection with Score Distribution Discrimination", KDD' 23.☆23Jul 3, 2023Updated 3 years ago
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆107May 12, 2021Updated 5 years ago
- ☆10Dec 11, 2021Updated 4 years ago
- A list of all papers related to anomaly detection in NeurIPS 2020.☆10Jan 13, 2021Updated 5 years ago
- Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning☆60Feb 26, 2024Updated 2 years ago
- official implementation of RoSAS: Deep Semi-supervised Anomaly Detection with Contamination-resilient Continuous Supervision☆12Jul 18, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Source code of ICML'22 paper: FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting☆10Jun 10, 2022Updated 4 years ago
- The official PyTorch implementation of Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment (AAAI2023, to appear)…☆45Dec 10, 2022Updated 3 years ago
- Paper Implementation☆27Jun 15, 2024Updated 2 years ago
- Inspired by recent advances in coverage-guided analysis of neural networks, we propose a novel anomaly detection method. We show that the…☆15May 26, 2022Updated 4 years ago
- [EMNLP Findings 2025]. NLP-ADBench is a comprehensive benchmarking tool designed for Anomaly Detection in Natural Language Processing (NL…☆21Oct 9, 2025Updated last year
- LogTAD: Unsupervised Cross-system Log Anomaly Detection via Domain Adaptation (CIKM 2021)☆28Apr 18, 2026Updated 6 months ago
- Core Decomposition in Multilayer Networks: Theory, Algorithms, and Applications☆12Dec 20, 2018Updated 7 years ago
- a time series anomaly detection method based on the calibrated one-class classifier☆76Jul 25, 2025Updated last year
- A simple and effective method for single-class classification of images☆160Nov 29, 2021Updated 4 years ago
- 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.
- Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!☆9,418Mar 2, 2026Updated 7 months ago
- PyTorch implementation of Adversarially Learned One-Class Classifier for Novelty Detection☆12Apr 29, 2021Updated 5 years ago
- Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.☆1,027Jan 8, 2026Updated 9 months ago
- Reinforcement Learning-Based Model Selection for Anomaly Detection (RLMSAD)☆34May 23, 2022Updated 4 years ago
- ☆14Sep 29, 2020Updated 6 years ago
- ☆46Mar 30, 2026Updated 6 months ago
- GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training☆888Feb 7, 2023Updated 3 years ago
- ☆21Dec 7, 2021Updated 4 years ago
- Implementation of FGANomaly☆17Sep 22, 2021Updated 5 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.
- PFM and PEFM for Image Anomaly Detection and Segmentation☆36May 24, 2023Updated 3 years ago
- [VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.☆705Jul 25, 2024Updated 2 years ago
- Deep learning-based outlier/anomaly detection☆578Jul 24, 2025Updated last year
- ☆25Apr 11, 2024Updated 2 years ago
- Code for the paper "TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks"☆179Sep 30, 2021Updated 5 years ago
- Unified Dense Subgraph Detection Algorithms: **Best student DM paper award in ECML-PKDD'20**☆16May 23, 2024Updated 2 years ago
- ☆24Jul 18, 2026Updated 3 months ago