GuansongPang / deep-outlier-detectionLinks
Deep distance-based outlier detection published in KDD18: Learning representations specifically for distance-based outlier detection. Few-shot outlier detection
☆48Updated 5 years ago
Alternatives and similar repositories for deep-outlier-detection
Users that are interested in deep-outlier-detection are comparing it to the libraries listed below
Sorting:
- Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot …☆154Updated 4 years ago
- MemStream: Memory-Based Streaming Anomaly Detection☆88Updated 2 years ago
- Explaining Anomalies Detected by Autoencoders Using SHAP☆33Updated 5 years ago
- Supplementary material for IJCNN paper "XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning"☆89Updated 6 years ago
- Automating Outlier Detection via Meta-Learning (Code, API, and Contribution Instructions)☆186Updated 3 years ago
- Robust Subspace Recovery Layer for Unsupervised Anomaly Detection☆37Updated 5 years ago
- GAAL-based Outlier Detection☆134Updated 3 years ago
- Explaining Anomalies Detected by Autoencoders Using SHAP☆45Updated 4 years ago
- Code for SIGKDD'2021 paper: Deep Clustering based Fair Outlier Detection☆11Updated 4 years ago
- Deep Learning for Anomaly Deteection☆59Updated 3 years ago
- [ICDM 2020] Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning☆56Updated 2 years ago
- OCAN: One-Class Adversarial Nets for Fraud Detection☆24Updated 7 years ago
- Supplementary material for ICDM 20 paper "COPOD: Copula-Based Outlier Detection"☆59Updated 5 years ago
- Pytorch implementation of GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection☆29Updated 3 years ago
- Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection☆65Updated 5 years ago
- Adversarial Attacks on Deep Neural Networks for Time Series Classification☆80Updated 5 years ago
- Anomaly Detection on Yahoo S5 - A Labeled Anomaly Detection Dataset☆22Updated 6 years ago
- Unsupervised deep learning framework with online(MLP: prediction-based, 1 D Conv and VAE: reconstruction-based, Wavenet: prediction-based…☆129Updated 3 years ago
- Supplementary material for SDM 19 paper "LSCP: Locally Selective Combination in Parallel Outlier Ensembles"☆31Updated 6 years ago
- Codebase for the paper "Adversarial Attacks on Time Series"☆24Updated 6 years ago
- tensorflow implement the paper A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data☆64Updated 6 years ago
- Anomaly Detection on Time-Evolving Streams in Real-time. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.☆121Updated 2 years ago
- Companion code for the self-supervised anomaly detection algorithm proposed in the paper "Detecting Anomalies within Time Series using Lo…☆17Updated 4 years ago
- ☆65Updated 4 years ago
- This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.☆40Updated 4 years ago
- Outlier Detection for Time Series with Recurrent Autoencoder Ensembles☆75Updated 6 years ago
- Papers on trustworthy anomaly detection☆29Updated last year
- The official codebase for Unsupervised Anomaly Detection with Adversarial Mirrored AutoEncoders paper (UAI'21).☆16Updated 4 years ago
- [NeurIPS’20] ⚖️ Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题☆111Updated last year
- Popular method ARIMA for outlier detection purposes☆29Updated last year