ldeecke / vae-torchLinks
Variational autoencoder for anomaly detection (in PyTorch).
☆48Updated 5 years ago
Alternatives and similar repositories for vae-torch
Users that are interested in vae-torch are comparing it to the libraries listed below
Sorting:
- A Pytorch implementation of the paper `Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection` by Zong et al.☆70Updated 5 years ago
- A simple and effective method for single-class classification of images☆160Updated 3 years ago
- Generative Probabilistic Novelty Detection with Adversarial Autoencoders☆130Updated 4 years ago
- Keras Implementation of adverserial autoencoder (AAE)☆56Updated 6 years ago
- Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.☆67Updated last year
- Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection☆65Updated 4 years ago
- Repository for the Deep One-Class Classification ICML 2018 paper☆254Updated 6 years ago
- PyTorch implementation of paper: adVAE: a Self-adversarial Variational Autoencoder with Gaussian Anomaly Prior Knowledge for Anomaly Dete…☆34Updated 4 years ago
- Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance☆76Updated 6 years ago
- ALAD (Proceedings of IEEE ICDM 2018) official code☆136Updated 6 years ago
- Tensorflow Implementation of Deep SVDD☆36Updated 5 years ago
- This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.☆39Updated 3 years ago
- Code for ECCV 2020 paper "Backpropagated Gradient Representations for Anomaly Detection"☆29Updated 4 years ago
- Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.☆90Updated 11 months ago
- Adversarial autoencoder (basic/semi-supervised/supervised)☆28Updated 2 years ago
- Anomaly detection using Autoencoder implemented with Keras 2.☆69Updated 6 years ago
- Tensorflow Implementation of dagmm: Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection, Zong et al, 2018☆57Updated 7 years ago
- gan, wgan-gp, anomaly detection, unsupervised, pytorch☆29Updated 7 years ago
- A combination of Autoencoder and Robust PCA☆187Updated 11 months ago
- Implementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'☆20Updated 4 years ago
- ☆11Updated 7 years ago
- Prior Generating Networks for Anomaly Detection☆14Updated 4 years ago
- Implementation of Robust PCA and Robust Deep Autoencoder over Time Series☆9Updated 6 years ago
- Tensorflow2 implementation of the paper GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training☆21Updated 4 years ago
- My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection☆411Updated 2 years ago
- Stacked denoising convolutional autoencoder written in Pytorch for some experiments.☆131Updated last year
- Semi-supervised Regression GAN☆39Updated 5 years ago
- ☆50Updated 2 years ago
- GAAL-based Outlier Detection☆132Updated 2 years ago
- PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)☆124Updated 4 years ago