yoonsanghyu / AAE-PyTorchLinks
Adversarial autoencoder (basic/semi-supervised/supervised)
☆29Updated 3 years ago
Alternatives and similar repositories for AAE-PyTorch
Users that are interested in AAE-PyTorch are comparing it to the libraries listed below
Sorting:
- Implementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'☆21Updated 4 years ago
- Open-set Recognition with Adversarial Autoencoders☆38Updated 6 years ago
- PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)☆124Updated 4 years ago
- the reproduce of Variational Deep Embedding : A Generative Approach to Clustering Requirements by pytorch☆136Updated 2 years ago
- Pytorch Implementation of ClusterGAN (arXiv:1809.03627)☆96Updated 2 years ago
- This repository contains the codes to reproduce the results of our proposed novelty detection algorithm based on adversarially robust aut…☆19Updated 2 years ago
- A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)☆39Updated 4 years ago
- PyTorch implementation of the paper [Semi-Supervised Learning With GANs: Revisiting Manifold Regularization].☆20Updated 4 years ago
- Implementation of "Autoencoding beyond pixels using a learned similarity metric" using Pytorch☆63Updated 5 years ago
- Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection☆65Updated 5 years ago
- Linxiao Yang, Ngai-Man Cheung, Jiaying Li, and Jun Fang, "Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embeddi…☆52Updated 5 years ago
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆103Updated 5 years ago
- C-GMVAE: Gaussian Mixture VAE with Contrastive Learning for Multi-Label Classification☆55Updated 2 years ago
- Pytorch implementation of Maximum Mean Discrepancy Variational Autoencoder, a member of the InfoVAE family that maximizes Mutual Informat…☆57Updated 4 years ago
- Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)☆44Updated 2 years ago
- Stacked denoising convolutional autoencoder written in Pytorch for some experiments.☆131Updated last year
- Improved training of Wasserstein GANs☆46Updated 4 years ago
- Code of the paper 'Neural Transformation Learning for Anomaly Detection' published in ICML 2021☆47Updated 3 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆56Updated 6 years ago
- Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering☆341Updated 4 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
- Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.☆90Updated last year
- PyTorch implementation of DANN (Domain-Adversarial Training of Neural Networks)☆136Updated last year
- Generate high quality images for each class even with an imbalanced dataset. An improved version of Balancing GAN.☆38Updated 3 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆87Updated 6 years ago
- E3Outlier: Effective End-to-end Unsupervised Outlier Detection☆45Updated 3 years ago
- This repository holds the code for the paper "Deep Conditional Gaussian Mixture Model forConstrained Clustering".☆34Updated 3 years ago
- This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.☆39Updated 3 years ago
- A Variational Autoencoder based on the ResNet18-architecture☆120Updated 6 years ago
- Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance☆76Updated 6 years ago