ShayanPersonal / stacked-autoencoder-pytorchLinks
Stacked denoising convolutional autoencoder written in Pytorch for some experiments.
☆131Updated 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
Sorting:
- PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)☆124Updated 4 years ago
- Pytorch Deep Clustering with Convolutional Autoencoders implementation☆105Updated 4 years ago
- Autoencoders in PyTorch☆101Updated 5 years ago
- t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature☆64Updated 7 years ago
- Pytorch implementations of various types of autoencoders☆66Updated 6 years ago
- This repository has implementation and tutorial for Deep Belief Network☆101Updated 6 years ago
- Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DA…☆26Updated 6 years ago
- Implementation of autoencoders in PyTorch☆57Updated 7 years ago
- Medical Imaging, Denoising Autoencoder, Sparse Denoising Autoencoder (SDAE) End-to-end and Layer Wise Pretraining☆47Updated 6 years ago
- Latent space clustering in Generative Adversarial Network (GAN)☆105Updated 3 years ago
- A pytorch implementation of the paper Unsupervised Deep Embedding for Clustering Analysis.☆142Updated 6 years ago
- Variational autoencoder for anomaly detection (in PyTorch).☆48Updated 5 years ago
- Keras Implementation of adverserial autoencoder (AAE)☆56Updated 6 years ago
- Pytorch implementation of Domain Separation Networks☆152Updated 6 years ago
- Adversarial autoencoder (basic/semi-supervised/supervised)☆28Updated 2 years ago
- A simple implementation of domain adversarial training with GAN loss in Keras☆58Updated 7 years ago
- Stacked Denoising AutoEncoder☆78Updated 5 years ago
- Pytorch implementation of Improved Deep Embedded Clustering☆105Updated 6 years ago
- A simple implementation of Deep Domain Confusion: Maximizing for Domain Invariance☆155Updated 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
- Time Series Classification Benchmark with LSTM, VGG, ResNet☆60Updated 7 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 the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)☆291Updated last year
- Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)☆60Updated last year
- A Variational Autoencoder (VAE) implemented in PyTorch☆425Updated 3 years ago
- A pytorch implementation of Maximum Mean Discrepancies(MMD) loss☆210Updated 2 years ago
- Convolutional variational autoencoder in PyTorch☆46Updated 7 years ago
- ☆56Updated 5 years ago
- ☆196Updated 3 years ago
- A Keras framework for Adversarial Domain Adaptation☆34Updated 4 years ago