satolab12 / anomaly-detection-using-autoencoder-PyTorch
encoder-decoder based anomaly detection method
☆21Updated 3 years ago
Related projects: ⓘ
- Pytorch implementation of "Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery"☆53Updated 4 years ago
- Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)☆41Updated 5 months ago
- Robust Subspace Recovery Layer for Unsupervised Anomaly Detection☆36Updated 3 years ago
- Implementation of GANomaly with MNIST dataset☆18Updated 4 years ago
- Code to reproduce 'Combining GANs and AutoEncoders for efficient anomaly detection'☆38Updated 2 years ago
- Prior Generating Networks for Anomaly Detection☆13Updated 3 years ago
- Official PyTorch implementation of the paper “Explainable Deep Few-shot Anomaly Detection with Deviation Networks”, weakly/partially supe…☆83Updated last year
- Visually Explainable VAE☆61Updated 3 years ago
- An unofficial implementation of 'Inverse-Transform AutoEncoder for Anomaly Detection', paper see https://arxiv.org/abs/1911.10676☆12Updated 4 years ago
- This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.☆39Updated 3 years ago
- Unofficial implementation of Google "CutPaste: Self-Supervised Learning for Anomaly Detection and Localization" in PyTorch☆114Updated 2 years ago
- Using Generative Adversarial Networks (GANs) algorithm to detect outliers on tabular data☆13Updated 5 years ago
- Code for ECCV 2020 paper "Backpropagated Gradient Representations for Anomaly Detection"☆30Updated 4 years ago
- Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection☆60Updated 4 years ago
- Repository for the paper "Rethinking Assumptions in Anomaly Detection"☆35Updated 11 months ago
- TensorFlow implementation of "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detectio…☆25Updated last year
- A Meta-Learning Approach for Few-Shot Anomaly Detection and One-Class Classification☆36Updated 2 years ago
- PyTorch implementation of paper: adVAE: a Self-adversarial Variational Autoencoder with Gaussian Anomaly Prior Knowledge for Anomaly Dete…☆32Updated 3 years ago
- ☆155Updated 4 months ago
- Implementation of f-AnoGAN with PyTorch☆128Updated last year
- List of implementation of SOTA deep anomaly detection methods☆102Updated 2 years ago
- The model uses the AE-GAN (Autoencoder Generative Adversarial Network) architecture for generating upsampled images. The model is trained…☆14Updated 4 years ago
- This repository contains the codes to reproduce the results of our proposed novelty detection algorithm based on adversarially robust aut…☆19Updated last year
- Anomaly detection for images☆13Updated 4 years ago
- ☆25Updated 4 years ago
- Repository for the Explainable Deep One-Class Classification paper☆222Updated last year
- try VAE GANLoss + SSIM loss in anomaly Detection☆13Updated 4 years ago
- Mean-Shifted Contrastive Loss for Anomaly Detection (AAAI 2023)☆116Updated last month
- Variational autoencoder for anomaly detection (in PyTorch).☆48Updated 4 years ago
- Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection (MemAE)☆62Updated 5 years ago