analytique-bourassa / VAE-ClassifierLinks
Variational Autoencoder and Classifier hybrid
☆28Updated 6 years ago
Alternatives and similar repositories for VAE-Classifier
Users that are interested in VAE-Classifier are comparing it to the libraries listed below
Sorting:
- Contrastive Variational Autoencoders☆70Updated 6 years ago
- Stacked denoising convolutional autoencoder written in Pytorch for some experiments.☆132Updated 2 years ago
- End-to-end deep learning model for low dimensional latent space extraction and multi-class classification on multi-omics datasets.☆34Updated 4 years ago
- ☆119Updated 3 years ago
- Latent space clustering in Generative Adversarial Network (GAN)☆107Updated 3 years ago
- Pytorch Deep Clustering with Convolutional Autoencoders implementation☆105Updated 4 years ago
- Pytorch Implementation of ClusterGAN (arXiv:1809.03627)☆96Updated 2 years ago
- A toy example of VAE-regression network☆72Updated 5 years ago
- PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)☆124Updated 4 years ago
- A Variational Information Bottleneck Approach to Multi-Omics Data Integration☆24Updated 4 years ago
- ☆197Updated 3 years ago
- Pytorch implementation of Improved Deep Embedded Clustering☆105Updated 6 years ago
- A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of …☆137Updated last year
- Deep Feature Selection using Teacher Student Network☆43Updated 6 years ago
- Repository for the Deep One-Class Classification ICML 2018 paper☆257Updated 6 years ago
- Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks☆61Updated 7 years ago
- Python implementation of Sparse Subspace Clustering algorithm.☆79Updated 7 years ago
- A Variational Autoencoder based on the ResNet18-architecture☆120Updated 6 years ago
- Visually Explainable VAE☆63Updated 4 years ago
- Convolutional variational autoencoder in PyTorch☆46Updated 7 years ago
- Toolbox for large scale subspace clustering☆178Updated 3 years ago
- Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)☆108Updated 3 years ago
- A Pytorch implementation of missing data imputation using optimal transport.☆102Updated 4 years ago
- Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments☆70Updated 5 years ago
- ☆16Updated 3 years ago
- Generalized Canonical Correlation Analysis☆51Updated 7 years ago
- PyTorch implementation of Stacked Capsule Auto-Encoders☆40Updated last year
- Linxiao Yang, Ngai-Man Cheung, Jiaying Li, and Jun Fang, "Deep Clustering by Gaussian Mixture Variational Autoencoders with Graph Embeddi…☆52Updated 5 years ago
- A package for Multiple Kernel Learning in Python☆131Updated 2 years ago
- Variational autoencoder for anomaly detection (in PyTorch).☆48Updated 5 years ago