analytique-bourassa / VAE-Classifier
Variational Autoencoder and Classifier hybrid
☆26Updated 5 years ago
Alternatives and similar repositories for VAE-Classifier:
Users that are interested in VAE-Classifier are comparing it to the libraries listed below
- ☆18Updated 5 years ago
- Contrastive Variational Autoencoders☆64Updated 6 years ago
- Keras Implementation of adverserial autoencoder (AAE)☆56Updated 6 years ago
- Adversarial autoencoder (basic/semi-supervised/supervised)☆28Updated 2 years ago
- Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks☆61Updated 7 years ago
- Convolutional variational autoencoder in PyTorch☆46Updated 7 years ago
- code for "DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification"☆50Updated 6 years ago
- conditional variational autoencoder written in Keras [not actively maintained]☆96Updated 7 years ago
- Variational autoencoder for anomaly detection (in PyTorch).☆48Updated 5 years ago
- Deep Feature Selection using Teacher Student Network☆43Updated 5 years ago
- Generate high quality images for each class even with an imbalanced dataset. An improved version of Balancing GAN.☆37Updated 3 years ago
- Medical Imaging, Denoising Autoencoder, Sparse Denoising Autoencoder (SDAE) End-to-end and Layer Wise Pretraining☆47Updated 6 years ago
- Tensorflow implementation of "Deep sparse representation-based classification"☆44Updated 5 years ago
- A toy example of VAE-regression network☆72Updated 4 years ago
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆102Updated 5 years ago
- Discriminative Feature Alignment for Unsupervised Domain Adaptation☆68Updated 4 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
- PyTorch implementation of "MIDA: Multiple Imputation using Denoising Autoencoders"☆28Updated 6 years ago
- Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.☆26Updated 7 years ago
- PyTorch implementation of semi-supervised GAN☆14Updated 7 years ago
- Visually Explainable VAE☆62Updated 4 years ago
- PyTorch implementation of SDAE (Stacked Denoising AutoEncoder)☆124Updated 4 years ago
- A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of …☆131Updated last year
- ☆15Updated 3 years ago
- Python (PyTorch) realization of Deep Feature Selection (Model, Algorithm)☆17Updated 4 years ago
- Library of transfer learners and domain-adaptive classifiers.☆90Updated 6 years ago
- Generative Probabilistic Novelty Detection with Adversarial Autoencoders☆129Updated 4 years ago
- implementation of semi-supervised VAE using pytorch☆11Updated 5 years ago
- A simple implementation of domain adversarial training with GAN loss in Keras☆58Updated 6 years ago
- Joint distribution optimal transportation for domain adaptation☆101Updated 7 years ago