GuansongPang / deep-outlier-detection
Deep distance-based outlier detection published in KDD18: Learning representations specifically for distance-based outlier detection. Few-shot outlier detection
☆48Updated 4 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:
- This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.☆39Updated 3 years ago
- Deep Learning for Anomaly Deteection☆60Updated 2 years ago
- Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot …☆151Updated 3 years ago
- Companion code for the self-supervised anomaly detection algorithm proposed in the paper "Detecting Anomalies within Time Series using Lo…☆16Updated 3 years ago
- Robust Subspace Recovery Layer for Unsupervised Anomaly Detection☆37Updated 4 years ago
- Supplementary material for ICDM 20 paper "COPOD: Copula-Based Outlier Detection"☆60Updated 4 years ago
- OCAN: One-Class Adversarial Nets for Fraud Detection☆24Updated 6 years ago
- Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection☆65Updated 4 years ago
- [ICDM 2020] Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning☆51Updated 2 years ago
- Code of the paper 'Neural Transformation Learning for Anomaly Detection' published in ICML 2021☆45Updated 3 years ago
- MemStream: Memory-Based Streaming Anomaly Detection☆91Updated last year
- Supplementary material for IJCNN paper "XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning"☆82Updated 5 years ago
- Automating Outlier Detection via Meta-Learning (Code, API, and Contribution Instructions)☆176Updated 3 years ago
- Resources and environment for unsupervised outlier model selection (UOMS)☆23Updated 2 years ago
- Codes for IJCAI2020 paper "Unsupervised Representation Learning by Predicting Random Distances” https://arxiv.org/abs/1912.12186☆28Updated 5 years ago
- Implementation of MTAD-TF: Multivariate Time Series Anomaly Detection Using the Combination of Temporal Pattern and Feature Pattern☆16Updated 4 years ago
- my implement of my paper☆63Updated 3 years ago
- LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks☆44Updated 2 years ago
- ☆49Updated 10 months ago
- Supplementary material for SDM 19 paper "LSCP: Locally Selective Combination in Parallel Outlier Ensembles"☆30Updated 5 years ago
- Outlier Detection for Time Series with Recurrent Autoencoder Ensembles☆73Updated 5 years ago
- Explaining Anomalies Detected by Autoencoders Using SHAP☆33Updated 5 years ago
- A Pytorch implementation of the paper `Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection` by Zong et al.☆70Updated 5 years ago
- tensorflow implement the paper A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data☆63Updated 5 years ago
- DAGMM Tensorflow implementation☆179Updated last year
- Unsupervised deep learning framework with online(MLP: prediction-based, 1 D Conv and VAE: reconstruction-based, Wavenet: prediction-based…☆125Updated 2 years ago
- ☆53Updated 4 years ago
- The official codebase for Unsupervised Anomaly Detection with Adversarial Mirrored AutoEncoders paper (UAI'21).☆16Updated 3 years ago
- AnomalyDAE (ICASSP2020)☆51Updated 5 years ago
- ☆19Updated 2 years ago