rohban-lab / Salehi_submitted_2020Links
This repository contains the codes to reproduce the results of our proposed novelty detection algorithm based on adversarially robust autoencoder.
☆19Updated 2 years ago
Alternatives and similar repositories for Salehi_submitted_2020
Users that are interested in Salehi_submitted_2020 are comparing it to the libraries listed below
Sorting:
- Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.☆90Updated last year
- E3Outlier: Effective End-to-end Unsupervised Outlier Detection☆45Updated 3 years ago
- Pytorch implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data".☆121Updated 4 years ago
- Robust Subspace Recovery Layer for Unsupervised Anomaly Detection☆37Updated 5 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
- Implementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'☆21Updated 4 years ago
- Generate high quality images for each class even with an imbalanced dataset. An improved version of Balancing GAN.☆41Updated 4 years ago
- SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]☆138Updated 4 years ago
- A Python Package for Deep Imbalanced Learning☆56Updated 5 months ago
- Open-set Recognition with Adversarial Autoencoders☆39Updated 7 years ago
- Code of the paper 'Neural Transformation Learning for Anomaly Detection' published in ICML 2021☆49Updated 3 years ago
- A simple training/evaluation code of open set recognition using OpenMax (https://arxiv.org/abs/1511.06233)☆58Updated 7 years ago
- [IEEE TKDE] DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection☆16Updated 2 years ago
- PyTorch implementation of paper: adVAE: a Self-adversarial Variational Autoencoder with Gaussian Anomaly Prior Knowledge for Anomaly Dete…☆36Updated 4 years ago
- UnOfficial PyTorch Implementation of OCGAN!☆30Updated 6 years ago
- Mean-Shifted Contrastive Loss for Anomaly Detection (AAAI 2023)☆117Updated last year
- ☆156Updated last year
- ☆51Updated 11 years ago
- Codes for IJCAI2020 paper "Unsupervised Representation Learning by Predicting Random Distances” https://arxiv.org/abs/1912.12186☆29Updated 5 years ago
- This is my PyTorch implementation of BiGAN☆14Updated 5 years ago
- This is an implementation of the Extreme Value Machine by Rudd et al., with minor changes from the original work.☆54Updated 7 years ago
- PyTorch implementation of the paper [Semi-Supervised Learning With GANs: Revisiting Manifold Regularization].☆20Updated 5 years ago
- Code of Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs☆22Updated 2 years ago
- Code for Class Anchor Clustering loss for training a distance-based open set classifier☆75Updated 3 years ago
- Code to reproduce 'Combining GANs and AutoEncoders for efficient anomaly detection'☆40Updated 4 years ago
- A simple and effective method for single-class classification of images☆161Updated 4 years ago
- ☆17Updated 3 years ago
- Discriminative Feature Alignment for Unsupervised Domain Adaptation☆69Updated 4 years ago
- Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and featu…☆43Updated 5 years ago