alimirzaei / adverserial-autoencoder-kerasLinks
Keras Implementation of adverserial autoencoder (AAE)
☆56Updated 6 years ago
Alternatives and similar repositories for adverserial-autoencoder-keras
Users that are interested in adverserial-autoencoder-keras are comparing it to the libraries listed below
Sorting:
- contains the code for models in the paper Robust, Deep and Inductive Anomaly Detection☆35Updated 8 years ago
- Semi-supervised Learning GAN☆81Updated 8 years ago
- Generative Probabilistic Novelty Detection with Adversarial Autoencoders☆131Updated 4 years ago
- Implementation of Adversarial Autoencoder in Keras☆31Updated 7 years ago
- Variational autoencoder for anomaly detection (in PyTorch).☆48Updated 6 years ago
- ☆195Updated 3 years ago
- ALAD (Proceedings of IEEE ICDM 2018) official code☆139Updated 6 years ago
- A simple and effective method for single-class classification of images☆161Updated 4 years ago
- A simple implementation of domain adversarial training with GAN loss in Keras☆58Updated 7 years ago
- PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)☆127Updated 5 years ago
- Semi-Supervised Learning with Ladder Networks in Keras. Get 98% test accuracy on MNIST with just 100 labeled examples !☆101Updated 4 years ago
- Semi-supervised learning with mnist using variational autoencoders. An unsupervised representation is learned which allows for superior …☆33Updated 7 years ago
- Repository for the ablation study of "Long Short-Term Memory Fully Convolutional Networks for Time Series Classification"☆54Updated 6 years ago
- GAAL-based Outlier Detection☆134Updated 3 years ago
- ☆24Updated 6 years ago
- Keras implementation of LSTM Variational Autoencoder☆229Updated 6 years ago
- A combination of Autoencoder and Robust PCA☆188Updated last year
- Tensorflow Implementation of dagmm: Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection, Zong et al, 2018☆57Updated 7 years ago
- Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.☆65Updated 2 years ago
- Keras implementation of Attention Augmented Convolutional Neural Networks☆121Updated 5 years ago
- Experiments with Adversarial Autoencoders using Keras☆22Updated 5 years ago
- Autoencoder model for rare event classification☆105Updated 6 years ago
- How to do Unsupervised Clustering with Keras☆241Updated 7 years ago
- Repository for the Deep One-Class Classification ICML 2018 paper☆259Updated 7 years ago
- Tensorflow2 implementation of the paper GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training☆21Updated 4 years ago
- A Pytorch implementation of the paper `Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection` by Zong et al.☆69Updated 5 years ago
- Unsupervised anomaly detection with generative model, keras implementation☆182Updated 6 years ago
- Pytorch Implementation of ClusterGAN (arXiv:1809.03627)☆97Updated 2 years ago
- MisGAN: Learning from Incomplete Data with GANs☆80Updated 2 years ago
- Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR1…☆123Updated 7 years ago