ALAD (Proceedings of IEEE ICDM 2018) official code
☆138Mar 25, 2019Updated 6 years ago
Alternatives and similar repositories for Adversarially-Learned-Anomaly-Detection
Users that are interested in Adversarially-Learned-Anomaly-Detection are comparing it to the libraries listed below
Sorting:
- GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training☆885Feb 7, 2023Updated 3 years ago
- A Tensorflow implementation of Improved GANs for semi supervised learning from Salimans et al.☆21Mar 1, 2019Updated 7 years ago
- ☆50Oct 13, 2022Updated 3 years ago
- Code for reproducing f-AnoGAN training and anomaly scoring☆262May 2, 2019Updated 6 years ago
- Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)☆279Apr 16, 2019Updated 6 years ago
- Latent space autoregression for novelty detection.☆199Dec 12, 2022Updated 3 years ago
- We used generative adversarial networks (GANs) to do anomaly detection for time series data.☆149Jan 15, 2019Updated 7 years ago
- A simple and effective method for single-class classification of images☆161Nov 29, 2021Updated 4 years ago
- PyTorch implementation of I3D model for video classification, mixed with the CRF smoothing layer for multi-label classification.☆31Jul 29, 2018Updated 7 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Aug 23, 2018Updated 7 years ago
- ☆25Oct 6, 2019Updated 6 years ago
- Anomaly detection on X-Ray MURA dataset using GAN.☆50Nov 1, 2018Updated 7 years ago
- Generative Probabilistic Novelty Detection with Adversarial Autoencoders☆131Dec 7, 2020Updated 5 years ago
- Official Pytorch implementation of the paper DeScarGAN☆32Sep 7, 2020Updated 5 years ago
- gan, wgan-gp, anomaly detection, unsupervised, pytorch☆129Aug 12, 2019Updated 6 years ago
- A Novel and Efficient CVAE-GAN-BASED Approach with Informative Manifold for Semi-Supervised Anomaly Detection☆13Mar 14, 2019Updated 6 years ago
- Repository for the Deep One-Class Classification ICML 2018 paper☆261Nov 29, 2018Updated 7 years ago
- Using Generative Adversarial Networks (GANs) algorithm to detect outliers on tabular data☆13May 15, 2019Updated 6 years ago
- This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.☆40Aug 26, 2021Updated 4 years ago
- A GAN-based model focused on anomaly detection in discrete dataset☆26Dec 30, 2019Updated 6 years ago
- A PyTorch implementation of the Deep SVDD anomaly detection method☆777Dec 8, 2022Updated 3 years ago
- DAGMM Tensorflow implementation☆180Jul 2, 2023Updated 2 years ago
- The official codebase for Unsupervised Anomaly Detection with Adversarial Mirrored AutoEncoders paper (UAI'21).☆16Jun 8, 2021Updated 4 years ago
- This implementation for the paper: Learning Neural Representations for Network Anomaly Detection. If you have questions, please do not he…☆18Aug 20, 2019Updated 6 years ago
- gan, wgan-gp, anomaly detection, unsupervised, pytorch☆29Dec 29, 2017Updated 8 years ago
- Main P-Net(ECCV 2020) on Mvtec dataset☆19Dec 29, 2020Updated 5 years ago
- Tensorflow Implementation of dagmm: Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection, Zong et al, 2018☆57May 30, 2018Updated 7 years ago
- PyTorch implementation of paper: adVAE: a Self-adversarial Variational Autoencoder with Gaussian Anomaly Prior Knowledge for Anomaly Dete…☆36Mar 8, 2021Updated 5 years ago
- Anomaly Detection on Yahoo S5 - A Labeled Anomaly Detection Dataset☆22Sep 27, 2019Updated 6 years ago
- classifier two-sample test for video anomaly detections☆11Jul 3, 2019Updated 6 years ago
- The code for On Robust Cross-View Consistency in Outdoor Self-Supervised Monocular Depth Estimation☆13Jun 2, 2023Updated 2 years ago
- A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.☆351Nov 22, 2022Updated 3 years ago
- This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)☆44Jun 19, 2019Updated 6 years ago
- Repository for the One class neural networks paper☆167Apr 23, 2019Updated 6 years ago
- Implementation of exisitng hyperspectral and novel proposed anomaly detectors for potential use in search and rescue, as part of a class …☆11Jul 3, 2020Updated 5 years ago
- Implementation of VisualBackProp using Pytorch.☆14Oct 28, 2017Updated 8 years ago
- AutoML4ETC, a tool to automatically design efficient and high-performing neural architectures for encrypted traffic classification.☆12Feb 19, 2024Updated 2 years ago
- A Pytorch implementation of the paper `Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection` by Zong et al.☆69May 12, 2020Updated 5 years ago
- #Deep One class #Anomaly Detection☆49May 30, 2019Updated 6 years ago