xtarx / Unsupervised-Anomaly-Detection-with-Generative-Adversarial-Networks
Unsupervised Anomaly Detection with Generative Adversarial Networks on MIAS dataset
☆102Updated 7 years ago
Alternatives and similar repositories for Unsupervised-Anomaly-Detection-with-Generative-Adversarial-Networks:
Users that are interested in Unsupervised-Anomaly-Detection-with-Generative-Adversarial-Networks are comparing it to the libraries listed below
- Unsupervised anomaly detection with generative model, keras implementation☆181Updated 5 years ago
- gan, wgan-gp, anomaly detection, unsupervised, pytorch☆29Updated 7 years ago
- Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)☆278Updated 6 years ago
- gan, wgan-gp, anomaly detection, unsupervised, pytorch☆128Updated 5 years ago
- A simple and effective method for single-class classification of images☆160Updated 3 years ago
- ALAD (Proceedings of IEEE ICDM 2018) official code☆135Updated 6 years ago
- Deep learning based one class classification code targeting one class image classification. Tests carried out on Abnormal image detection…☆193Updated 6 years ago
- Code for reproducing f-AnoGAN training and anomaly scoring☆256Updated 6 years ago
- ☆435Updated 4 years ago
- Tensorflow implementation of OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations