tufts-ml / GAN-Ensemble-for-Anomaly-Detection
This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.
☆39Updated 3 years ago
Alternatives and similar repositories for GAN-Ensemble-for-Anomaly-Detection:
Users that are interested in GAN-Ensemble-for-Anomaly-Detection are comparing it to the libraries listed below
- Code of Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs☆19Updated last year
- Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection☆63Updated 4 years ago
- [ICDM 2020] Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning☆50Updated last year
- ☆10Updated 4 years ago
- Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection (AMSL) -open source☆51Updated 2 years ago
- Code of the paper 'Neural Transformation Learning for Anomaly Detection' published in ICML 2021☆39Updated 2 years ago
- Implementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'☆19Updated 3 years ago
- ☆47Updated 6 months ago
- The official codebase for Unsupervised Anomaly Detection with Adversarial Mirrored AutoEncoders paper (UAI'21).☆16Updated 3 years ago
- ☆42Updated 3 years ago
- Robust Subspace Recovery Layer for Unsupervised Anomaly Detection☆38Updated 4 years ago
- tensorflow implement the paper A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data☆62Updated 5 years ago
- We used generative adversarial networks (GANs) to do anomaly detection for time series data.☆147Updated 6 years ago
- Code for KDD' 21 paper: Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering☆41Updated 2 years ago
- Anomaly Detection for SWaT Dataset using Sequence-to-Sequence Neural Networks☆47Updated 5 years ago
- a time series anomaly detection method based on the calibrated one-class classifier☆59Updated 11 months ago
- A curated list of time series augmentation resources.☆64Updated 3 years ago
- E3Outlier: Effective End-to-end Unsupervised Outlier Detection☆44Updated 2 years ago
- Companion code for the self-supervised anomaly detection algorithm proposed in the paper "Detecting Anomalies within Time Series using Lo…☆15Updated 3 years ago
- ☆63Updated 3 years ago
- Unofficial implementation of the KDD2020 paper "USAD: UnSupervised Anomaly Detection on multivariate time series" on two datasets cited i…☆55Updated 2 years ago
- Code for the paper: "Supervised contrastive learning over prototype-label embeddings for network intrusion detection"☆15Updated 3 years ago
- ☆18Updated 2 years ago
- ☆28Updated 3 years ago
- ☆57Updated 4 years ago
- Towards a Rigorous Evaluation of Time-series Anomaly Detection (AAAI'22)☆30Updated 2 years ago
- Deep distance-based outlier detection published in KDD18: Learning representations specifically for distance-based outlier detection. Few…☆48Updated 4 years ago
- Unsupervised deep learning framework with online(MLP: prediction-based, 1 D Conv and VAE: reconstruction-based, Wavenet: prediction-based…☆121Updated 2 years ago
- Variational autoencoder for anomaly detection (in PyTorch).☆48Updated 5 years ago
- Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.☆66Updated last year