analytique-bourassa / VAE-ClassifierLinks
Variational Autoencoder and Classifier hybrid
☆27Updated 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☆69Updated 6 years ago
- ☆119Updated 3 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
- A Variational Information Bottleneck Approach to Multi-Omics Data Integration☆24Updated 4 years ago
- Stacked denoising convolutional autoencoder written in Pytorch for some experiments.☆133Updated 2 years ago
- PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)☆125Updated 4 years ago
- Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)☆108Updated 3 years ago
- Deep Feature Selection using Teacher Student Network☆43Updated 6 years ago
- ☆16Updated 4 years ago
- Translation of DeepJDOT into pytorch.☆10Updated 4 years ago
- Python implementation of Sparse Subspace Clustering algorithm.☆79Updated 7 years ago
- Repository for the Deep One-Class Classification ICML 2018 paper☆257Updated 6 years ago
- A brief tutorial on the Wasserstein auto-encoder☆83Updated 6 years ago
- Latent space clustering in Generative Adversarial Network (GAN)☆107Updated 3 years ago
- A toy example of VAE-regression network☆72Updated 5 years ago
- ☆15Updated 3 years ago
- ☆17Updated 5 years ago
- Pytorch Implementation of ClusterGAN (arXiv:1809.03627)☆96Updated 2 years ago
- PyTorch implementation of BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders☆42Updated 5 years ago
- An interpretable deep learning model for cancer classification using high-dimensional omics data☆16Updated 3 years ago
- Tensorflow implementation of "Deep sparse representation-based classification"☆45Updated 6 years ago
- pytorch implementation of transformer for 1D data☆42Updated 3 years ago
- Convolutional variational autoencoder in PyTorch☆46Updated 7 years ago
- Pytorch implementation of Improved Deep Embedded Clustering☆105Updated 6 years ago
- Pytorch Deep Clustering with Convolutional Autoencoders implementation☆107Updated 5 years ago
- Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments☆70Updated 5 years ago
- Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.☆28Updated 7 years ago
- Python (PyTorch) realization of Deep Feature Selection (Model, Algorithm)☆17Updated 5 years ago
- Generalized Canonical Correlation Analysis☆51Updated 8 years ago
- A Pytorch implementation of missing data imputation using optimal transport.☆103Updated 4 years ago