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:
- PyTorch implementation of the paper [Semi-Supervised Learning With GANs: Revisiting Manifold Regularization].☆20Updated 5 years ago
- Stacked denoising convolutional autoencoder written in Pytorch for some experiments.☆135Updated 2 years ago
- Pytorch Implementation of ClusterGAN (arXiv:1809.03627)☆97Updated 2 years ago
- PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)☆127Updated 5 years ago
- We present a coupled Variational Auto-Encoder (VAE) method that improves the accuracy and robustness of the probabilistic inferences on r…☆19Updated 4 years ago
- Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection☆65Updated 5 years ago
- Open-set Recognition with Adversarial Autoencoders☆39Updated 6 years ago
- Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)☆84Updated 4 years ago
- the reproduce of Variational Deep Embedding : A Generative Approach to Clustering Requirements by pytorch☆139Updated 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
- Implementation of "Autoencoding beyond pixels using a learned similarity metric" using Pytorch☆67Updated 5 years ago
- Official implementation of "Classification-Based Anomaly Detection for General Data" by Liron Bergman and Yedid Hoshen, ICLR 2020.☆90Updated last year
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆105Updated 6 years ago
- Latent space clustering in Generative Adversarial Network (GAN)☆107Updated 3 years ago
- A Variational Autoencoder based on the ResNet18-architecture☆121Updated 6 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
- Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks☆62Updated 8 years ago
- Pytorch implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data".☆121Updated 4 years ago
- Implementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'☆21Updated 4 years ago
- A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)☆39Updated 4 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆57Updated 6 years ago
- A Pytorch Implementation of a denoising autoencoder.☆47Updated 6 years ago
- Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering☆350Updated 5 years ago
- Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)☆44Updated 3 years ago
- A pytorch implementation of Maximum Mean Discrepancies(MMD) loss☆213Updated 3 years ago
- Improved training of Wasserstein GANs☆46Updated 4 years ago
- Distributional Sliced-Wasserstein distance code☆50Updated last year
- Code of the paper 'Neural Transformation Learning for Anomaly Detection' published in ICML 2021☆48Updated 3 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
- PyTorch implementation of DANN (Domain-Adversarial Training of Neural Networks)☆144Updated 2 years ago