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
- Implementation of Adversarial Autoencoder in Keras☆32Updated 6 years ago
- A Keras framework for Adversarial Domain Adaptation☆34Updated 4 years ago
- Variational autoencoder for anomaly detection (in PyTorch).☆48Updated 5 years ago
- A Pytorch implementation of the paper `Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection` by Zong et al.☆70Updated 5 years ago
- A simple implementation of domain adversarial training with GAN loss in Keras☆58Updated 7 years ago
- Generative Probabilistic Novelty Detection with Adversarial Autoencoders☆130Updated 4 years ago
- Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)☆60Updated last year
- Autoencoder model for rare event classification☆105Updated 6 years ago
- Tensorflow Implementation of dagmm: Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection, Zong et al, 2018☆57Updated 7 years ago
- Experiments with Adversarial Autoencoders using Keras☆22Updated 5 years ago
- Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.☆67Updated last year
- PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)☆124Updated 4 years ago
- ALAD (Proceedings of IEEE ICDM 2018) official code☆136Updated 6 years ago
- Pytorch Deep Clustering with Convolutional Autoencoders implementation☆105Updated 4 years ago
- ☆25Updated 6 years ago
- Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection☆65Updated 4 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 7 years ago
- Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).☆39Updated 6 years ago
- This repository has implementation and tutorial for Deep Belief Network☆101Updated 6 years ago
- Keras implementation of Attention Augmented Convolutional Neural Networks☆121Updated 5 years ago
- Library of transfer learners and domain-adaptive classifiers.☆91Updated 6 years ago
- Pseudo-Label: Semi-Supervised Learning on CIFAR-10 in Keras☆37Updated 6 years ago
- Semi-supervised learning with mnist using variational autoencoders. An unsupervised representation is learned which allows for superior …☆33Updated 7 years ago
- Semi-supervised Learning GAN☆79Updated 7 years ago
- Semi-Supervised Learning with Ladder Networks in Keras. Get 98% test accuracy on MNIST with just 100 labeled examples !☆100Updated 4 years ago
- An adversarial autoencoder implementation in pytorch☆83Updated 6 years ago
- Tensorflow2 implementation of the paper GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training☆21Updated 4 years ago
- A combination of Autoencoder and Robust PCA☆187Updated 11 months ago
- Repository for the ablation study of "Long Short-Term Memory Fully Convolutional Networks for Time Series Classification"☆54Updated 6 years ago