Alternatives and similar repositories for memae-anomaly-detection

Users that are interested in memae-anomaly-detection are comparing it to the libraries listed below

• lyn1874 / memAE
  unofficial implementation of paper Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder (MemAE) for Unsupervised Ano…
  ☆72Updated 4 years ago
• h19920918 / memae
  Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection (MemAE)
  ☆63Updated 6 years ago
• cvlab-yonsei / MNAD
  An official implementation of "Learning Memory-guided Normality for Anomaly Detection" (CVPR 2020) in PyTorch.
  ☆357Updated 9 months ago
• samet-akcay / skip-ganomaly
  Source code for Skip-GANomaly paper
  ☆196Updated 2 years ago
• lukasruff / Deep-SVDD-PyTorch
  A PyTorch implementation of the Deep SVDD anomaly detection method
  ☆762Updated 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
• yiweilu3 / Few-shot-Scene-adaptive-Anomaly-Detection
  ☆80Updated 5 years ago
• lukasruff / Deep-SAD-PyTorch
  A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.
  ☆348Updated 2 years ago
• aimagelab / novelty-detection
  Latent space autoregression for novelty detection.
  ☆197Updated 2 years ago
• ristea / sspcab
  ☆158Updated 2 years ago
• fjchange / object_centric_VAD
  An Tensorflow Re-Implement of CVPR 2019 "Object-centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video"
  ☆99Updated 3 years ago
• StevenLiuWen / ano_pred_cvpr2018
  Official implementation of Paper Future Frame Prediction for Anomaly Detection -- A New Baseline, CVPR 2018
  ☆450Updated last year
• khalooei / ALOCC-CVPR2018
  Adversarially Learned One-Class Classifier for Novelty Detection (ALOCC)
  ☆225Updated 4 years ago
• samet-akcay / ganomaly
  GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
  ☆881Updated 2 years ago
• liznerski / fcdd
  Repository for the Explainable Deep One-Class Classification paper
  ☆233Updated last year
• feiyuhuahuo / Anomaly_Prediction
  Pytorch implementation of anomaly prediction.
  ☆82Updated 4 years ago
• PramuPerera / OCGAN
  ☆50Updated 2 years ago
• StevenLiuWen / sRNN_TSC_Anomaly_Detection
  ☆80Updated 2 years ago
• fjchange / awesome-video-anomaly-detection
  Papers for Video Anomaly Detection, released codes collection, Performance Comparision.
  ☆630Updated 2 years ago
• alchemi5t / MNADrc
  An unofficial *re*implementation of "Learning Memory-guided Normality for Anomaly Detection" (CVPR 2020) in PyTorch.
  ☆25Updated 2 years ago
• talreiss / Mean-Shifted-Anomaly-Detection
  Mean-Shifted Contrastive Loss for Anomaly Detection (AAAI 2023)
  ☆117Updated last year
• talreiss / PANDA
  PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation (CVPR 2021)
  ☆94Updated last year
• denguir / student-teacher-anomaly-detection
  Student–Teacher Anomaly Detection with Discriminative Latent Embeddings
  ☆185Updated 9 months ago
• izikgo / AnomalyDetectionTransformations
  A simple and effective method for single-class classification of images
  ☆160Updated 3 years ago
• nuclearboy95 / Anomaly-Detection-PatchSVDD-PyTorch
  ☆254Updated 4 years ago
• lukasruff / Deep-SVDD
  Repository for the Deep One-Class Classification ICML 2018 paper
  ☆257Updated 6 years ago
• Runinho / pytorch-cutpaste
  unoffical and work in progress PyTorch implementation of CutPaste
  ☆255Updated last year
• gudovskiy / cflow-ad
  Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizi…
  ☆264Updated 2 years ago
• olivesgatech / gradcon-anomaly
  Code for ECCV 2020 paper "Backpropagated Gradient Representations for Anomaly Detection"
  ☆29Updated 5 years ago
• A03ki / f-AnoGAN
  Implementation of f-AnoGAN with PyTorch
  ☆161Updated 2 years ago