Alternatives and similar repositories for GANanomalyDetection

Users that are interested in GANanomalyDetection are comparing it to the libraries listed below

• izikgo / AnomalyDetectionTransformations
  A simple and effective method for single-class classification of images
  ☆161Updated 3 years ago
• olivesgatech / gradcon-anomaly
  Code for ECCV 2020 paper "Backpropagated Gradient Representations for Anomaly Detection"
  ☆29Updated 5 years ago
• podgorskiy / GPND
  Generative Probabilistic Novelty Detection with Adversarial Autoencoders
  ☆131Updated 4 years ago
• PramuPerera / OCGAN
  ☆50Updated 3 years ago
• YeongHyeon / GANomaly-PyTorch
  Implementation of GANomaly with MNIST dataset
  ☆17Updated 5 years ago
• aimagelab / novelty-detection
  Latent space autoregression for novelty detection.
  ☆197Updated 2 years ago
• lukasruff / Classification-AD
  Repository for the paper "Rethinking Assumptions in Anomaly Detection"
  ☆36Updated 2 years ago
• liuem607 / expVAE
  Visually Explainable VAE
  ☆63Updated 4 years ago
• samet-akcay / skip-ganomaly
  Source code for Skip-GANomaly paper
  ☆197Updated 2 years ago
• ForrestPi / anomalyLocalization
  Anomaly detection for images
  ☆13Updated 5 years ago
• oyxhust / wgan-gp-anomaly
  gan, wgan-gp, anomaly detection, unsupervised, pytorch
  ☆129Updated 6 years ago
• houssamzenati / Adversarially-Learned-Anomaly-Detection
  ALAD (Proceedings of IEEE ICDM 2018) official code
  ☆137Updated 6 years ago
• khalooei / ALOCC-CVPR2018
  Adversarially Learned One-Class Classifier for Novelty Detection (ALOCC)
  ☆225Updated 4 years ago
• LeeDoYup / AnoGAN-tf
  Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)
  ☆280Updated 6 years ago
• SankhaSubhra / GAMO
  Generative Adversarial Minority Oversampling
  ☆33Updated 5 years ago
• lironber / GOAD
  Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.
  ☆90Updated last year
• h19920918 / memae
  Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection (MemAE)
  ☆63Updated 6 years ago
• lukasruff / Deep-SVDD
  Repository for the Deep One-Class Classification ICML 2018 paper
  ☆257Updated 6 years ago
• xiehousen / OCGAN-Pytorch
  UnOfficial PyTorch Implementation of OCGAN!
  ☆30Updated 5 years ago
• PramuPerera / TransferLearningNovelty
  ☆23Updated 6 years ago
• ldeecke / vae-torch
  Variational autoencoder for anomaly detection (in PyTorch).
  ☆48Updated 6 years ago
• liznerski / fcdd
  Repository for the Explainable Deep One-Class Classification paper
  ☆234Updated 2 years ago
• inspire-group / SSD
  SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]
  ☆137Updated 4 years ago
• seungjunlee96 / AnoGAN-pytorch
  Pytorch implementation of "Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery"
  ☆65Updated 5 years ago
• trigrass2 / wgan-gp-anomaly
  gan, wgan-gp, anomaly detection, unsupervised, pytorch
  ☆29Updated 7 years ago
• MrtnMndt / Deep_Openset_Recognition_through_Uncertainty
  PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Gene…
  ☆92Updated 3 years ago
• yuxiao-ash / ITAE-Pytorch-Anomaly_Detection
  An unofficial implementation of 'Inverse-Transform AutoEncoder for Anomaly Detection', paper see https://arxiv.org/abs/1911.10676
  ☆13Updated 5 years ago
• tSchlegl / f-AnoGAN
  Code for reproducing f-AnoGAN training and anomaly scoring
  ☆258Updated 6 years ago
• nuclearboy95 / Anomaly-Detection-OCGAN-tensorflow
  Tensorflow implementation of OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations
  ☆23Updated 6 years ago
• animebing / mnist_tsne
  t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature
  ☆65Updated 7 years ago