ShayanPersonal / stacked-autoencoder-pytorch
Stacked denoising convolutional autoencoder written in Pytorch for some experiments.
☆128Updated last year
Alternatives and similar repositories for stacked-autoencoder-pytorch:
Users that are interested in stacked-autoencoder-pytorch are comparing it to the libraries listed below
- PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)☆124Updated 4 years ago
- t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature☆64Updated 7 years ago
- Implementation of autoencoders in PyTorch☆57Updated 7 years ago
- Pytorch Deep Clustering with Convolutional Autoencoders implementation☆105Updated 4 years ago
- This repository has implementation and tutorial for Deep Belief Network☆102Updated 6 years ago
- Autoencoders in PyTorch☆100Updated 5 years ago
- A simple implementation of domain adversarial training with GAN loss in Keras☆59Updated 6 years ago
- Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DA…☆27Updated 5 years ago
- Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance☆76Updated 6 years ago
- Pytorch implementations of various types of autoencoders☆66Updated 6 years ago
- Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)☆60Updated last year
- Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks☆60Updated 7 years ago
- Stacked Denoising AutoEncoder☆76Updated 5 years ago
- Pytorch implementation of Improved Deep Embedded Clustering☆102Updated 6 years ago
- A Keras framework for Adversarial Domain Adaptation☆34Updated 4 years ago
- Pytorch implementation of Domain Separation Networks☆149Updated 6 years ago
- A Pytorch implementation of the paper `Deep Autoencoding Gaussian Mixture Model For Unsupervised Anomaly Detection` by Zong et al.☆69Updated 4 years ago
- Latent space clustering in Generative Adversarial Network (GAN)☆104Updated 3 years ago
- Adversarial autoencoder (basic/semi-supervised/supervised)☆28Updated 2 years ago
- Keras Implementation of adverserial autoencoder (AAE)☆56Updated 6 years ago
- pytorch implementation of stacked denoising autoencoder☆20Updated 7 years ago
- Semi-supervised Regression GAN☆39Updated 4 years ago
- the reproduce of Variational Deep Embedding : A Generative Approach to Clustering Requirements by pytorch☆132Updated last year
- Pytorch Adversarial Auto Encoder (AAE)☆86Updated 6 years ago
- Convolutional variational autoencoder in PyTorch☆46Updated 6 years ago
- ☆55Updated 5 years ago
- Convolutional Autoencoder with SetNet in PyTorch☆86Updated 2 years ago
- A Variational Autoencoder (VAE) implemented in PyTorch☆420Updated 2 years ago
- A Variational Autoencoder based on the ResNet18-architecture☆119Updated 6 years ago
- Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering☆298Updated 7 years ago