ksalsw1996 / pytorch_DAE
pytorch implementation of stacked denoising autoencoder
☆20Updated 7 years ago
Alternatives and similar repositories for pytorch_DAE:
Users that are interested in pytorch_DAE are comparing it to the libraries listed below
- The reproduce of M2 model in "Semi-supervised Learning with Deep Generative Models" based on pytorch☆17Updated 5 years ago
- ☆25Updated 6 years ago
- Stacked denoising convolutional autoencoder written in Pytorch for some experiments.☆130Updated last year
- PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)☆124Updated 4 years ago
- Deep Subspace Clustering + GAN☆23Updated 7 years ago
- Pytorch implementation of Improved Deep Embedded Clustering☆102Updated 6 years ago
- Deep Transfer Learning Papers☆79Updated 3 years ago
- Linxiao Yang, Ngai-Man Cheung, Jiaying Li, and Jun Fang, "Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embeddi…☆52Updated 4 years ago
- Stacked Denoising AutoEncoder☆77Updated 5 years ago
- Using VAEs to do clustering for classification☆11Updated 7 years ago
- ☆22Updated 5 years ago
- Updated version of DCN☆84Updated 2 years ago
- Semi supervised learning on graphs☆35Updated 7 years ago
- ☆55Updated 5 years ago
- This is outdated -- New version: https://github.com/boyangumn/DCN-New☆94Updated 7 years ago
- Keras version of the MMD-Variational-Autoencoder☆10Updated 5 years ago
- ☆68Updated 6 years ago
- Mixture of Generative Adversarial Networks for Clustering☆16Updated 6 years ago
- PyTorch semi-supervised clustering with Convolutional Autoencoders☆24Updated 6 years ago
- This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)☆44Updated 5 years ago
- Unsupervised Domain Adaptation with Moment Alignment Neural Networks (Keras)☆60Updated last year
- Pytorch implementation of our article "Clustering-driven Deep Embedding with Pairwise Constraints"☆27Updated 6 years ago
- Implementation of autoencoders in PyTorch☆57Updated 7 years ago
- Dealing with class imbalance problem in machine learning. Synthetic oversampling(SMOTE, ADASYN).☆38Updated 6 years ago
- Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning☆47Updated 4 years ago
- Tensorflow deep learning based domain adaptation model implementations with experiment of estimate MNIST by SVHN data (SVHN -> MNIST): DA…☆27Updated 6 years ago
- ☆20Updated 6 years ago
- The code written on the understanding of the paper: "Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabel…☆18Updated 7 years ago
- A tensorflow version of JULE (Joint Unsupervised Learning of Deep Representations and Image Clusters).☆25Updated 6 years ago
- extract features by maximizing mutual information☆149Updated 5 years ago