Alternatives and similar repositories for OCGAN-Pytorch

Users that are interested in OCGAN-Pytorch are comparing it to the libraries listed below

• h19920918 / memae
  Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection (MemAE)
  ☆63Updated 5 years ago
• CharlesKangZhou / P_Net_Anomaly_Detection
  This is the implementation of our paper in ECCV 2020.
  ☆65Updated 4 years ago
• PramuPerera / OCGAN
  ☆50Updated 2 years ago
• Niousha12 / Knowledge_Distillation_AD
  ☆54Updated 4 years ago
• tianyu0207 / IGD
  Official code for 'Deep One-Class Classification via Interpolated Gaussian Descriptor' [AAAI 2022 Oral]
  ☆65Updated 2 years ago
• xaggi / OGNet
  Code for the CVPR 2020 paper 'Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm'
  ☆89Updated 4 years ago
• olivesgatech / gradcon-anomaly
  Code for ECCV 2020 paper "Backpropagated Gradient Representations for Anomaly Detection"
  ☆29Updated 4 years ago
• rohban-lab / Knowledge_Distillation_AD
  ☆87Updated 7 months ago
• YeongHyeon / GANomaly-PyTorch
  Implementation of GANomaly with MNIST dataset
  ☆17Updated 5 years ago
• talreiss / PANDA
  PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation (CVPR 2021)
  ☆93Updated 11 months ago
• taikiinoue45 / STAD
  Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings
  ☆85Updated 4 years ago
• nuclearboy95 / Anomaly-Detection-OCGAN-tensorflow
  Tensorflow implementation of OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations
  ☆23Updated 5 years ago
• seungjunlee96 / AnoGAN-pytorch
  Pytorch implementation of "Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery"
  ☆64Updated 5 years ago
• YutingXiao / P-Net_Mvtec_AD
  Main P-Net(ECCV 2020) on Mvtec dataset
  ☆19Updated 4 years ago
• DannisZgggg / AnoGAN-WGAN-pytorch
  WGAN based AnoGAN
  ☆47Updated 4 years ago
• lironber / GOAD
  Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.
  ☆90Updated 11 months ago
• PramuPerera / TransferLearningNovelty
  ☆23Updated 5 years ago
• yiweilu3 / Few-shot-Scene-adaptive-Anomaly-Detection
  ☆80Updated 4 years ago
• anncollin / AnomalyDetection-Keras
  ☆26Updated last year
• izikgo / AnomalyDetectionTransformations
  A simple and effective method for single-class classification of images
  ☆160Updated 3 years ago
• YoungGod / DFR
  Project: Unsupervised Anomaly Segmentation via Deep Feature Reconstruction
  ☆97Updated 2 years ago
• ForrestPi / anomalyLocalization
  Anomaly detection for images
  ☆13Updated 5 years ago
• lyn1874 / memAE
  unofficial implementation of paper Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder (MemAE) for Unsupervised Ano…
  ☆72Updated 4 years ago
• ForrestPi / VAEGAN
  try VAE GANLoss + SSIM loss in anomaly Detection
  ☆13Updated 5 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 4 years ago
• fvmassoli / mocca-anomaly-detection
  Code to reproduce 'MOCCA: Multi-Layer One-Class Classification for Anomaly Detection'
  ☆10Updated 3 years ago
• jnhwkim / orthoad
  Semi-Orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation
  ☆27Updated 3 years ago
• samet-akcay / skip-ganomaly
  Source code for Skip-GANomaly paper
  ☆194Updated 2 years ago
• talreiss / Mean-Shifted-Anomaly-Detection
  Mean-Shifted Contrastive Loss for Anomaly Detection (AAAI 2023)
  ☆118Updated 11 months ago
• dbbbbm / f-AnoGAN-PyTorch
  Unofficial PyTorch implementation for f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks.
  ☆35Updated 3 years ago