fabiocarrara / cbigan-adLinks
Code to reproduce 'Combining GANs and AutoEncoders for efficient anomaly detection'
☆40Updated 4 years ago
Alternatives and similar repositories for cbigan-ad
Users that are interested in cbigan-ad are comparing it to the libraries listed below
Sorting:
- Variational autoencoder for anomaly detection (in PyTorch).☆48Updated 6 years ago
- This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.☆40Updated 4 years ago
- A Pytorch implementation of the paper `Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection` by Zong et al.☆69Updated 5 years ago
- This repository contains the codes to reproduce the results of our proposed novelty detection algorithm based on adversarially robust aut…☆19Updated 2 years ago
- Code of Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs☆22Updated 2 years ago
- Implementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'☆21Updated 4 years ago
- PyTorch implementation of paper: adVAE: a Self-adversarial Variational Autoencoder with Gaussian Anomaly Prior Knowledge for Anomaly Dete…☆36Updated 4 years ago
- ☆210Updated 2 years ago
- Tensorflow2 implementation of the paper GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training☆21Updated 4 years ago
- The official codebase for Unsupervised Anomaly Detection with Adversarial Mirrored AutoEncoders paper (UAI'21).☆16Updated 4 years ago
- Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection☆65Updated 5 years ago
- Adversarial autoencoder (basic/semi-supervised/supervised)☆29Updated 3 years ago
- ☆66Updated 4 years ago
- Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.☆65Updated 2 years ago
- Code of the paper 'Neural Transformation Learning for Anomaly Detection' published in ICML 2021☆48Updated 3 years ago
- Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection (AMSL) -open source☆56Updated 3 years ago
- Generate high quality images for each class even with an imbalanced dataset. An improved version of Balancing GAN.☆41Updated 3 years ago
- Tensorflow Implementation of Deep SVDD☆36Updated 6 years ago
- Robust Subspace Recovery Layer for Unsupervised Anomaly Detection☆37Updated 4 years ago
- This is my PyTorch implementation of BiGAN☆14Updated 5 years ago
- We used generative adversarial networks (GANs) to do anomaly detection for time series data.☆150Updated 6 years ago
- Deep distance-based outlier detection published in KDD18: Learning representations specifically for distance-based outlier detection. Few…☆48Updated 5 years ago
- ALAD (Proceedings of IEEE ICDM 2018) official code☆139Updated 6 years ago
- ☆29Updated 3 years ago
- Fence GAN: Towards Better Anomaly Detection☆39Updated 4 years ago
- Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot …☆154Updated 4 years ago
- A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.☆349Updated 3 years ago
- Pytorch implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data".☆120Updated 4 years ago
- tensorflow implement the paper A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data☆64Updated 5 years ago
- Deep Learning for Anomaly Deteection☆59Updated 2 years ago