tijiang13 / Semi-supervised-VAE
☆25Updated 6 years ago
Alternatives and similar repositories for Semi-supervised-VAE:
Users that are interested in Semi-supervised-VAE are comparing it to the libraries listed below
- Replication of Semi-Supervised Learning with Deep Generative Models☆98Updated 8 years ago
- Conditional variational autoencoder implementation in Torch☆105Updated 9 years ago
- ☆11Updated 7 years ago
- Variational Auto-encoder with Non-parametric Bayesian Prior☆42Updated 7 years ago
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆39Updated 7 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆86Updated 6 years ago
- The reproduce of M2 model in "Semi-supervised Learning with Deep Generative Models" based on pytorch☆17Updated 5 years ago
- Semi supervised learning on graphs☆35Updated 7 years ago
- Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables☆13Updated 7 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
- Mixture of Generative Adversarial Networks for Clustering☆16Updated 6 years ago
- Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.☆27Updated 6 years ago
- The code for the cycle wasserstein regression generative adversarial network model for semi supervised bi-directional regression.☆24Updated 6 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆58Updated 7 years ago
- Convolutional Variational Autoencoder☆34Updated 5 years ago
- Semi-supervised learning with mnist using variational autoencoders. An unsupervised representation is learned which allows for superior …☆32Updated 7 years ago
- Wasserstein Adversarial Autoencoder Pytorch☆27Updated 7 years ago
- Denoising Adversairal Autoencoders☆40Updated 7 years ago
- ☆199Updated 7 years ago
- Implementation of Deep Linear Discriminant Analysis (DeepLDA)☆48Updated 8 years ago
- Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders☆213Updated 5 years ago
- ☆68Updated 5 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 7 years ago
- State space modeling with recurrent neural networks☆43Updated 6 years ago
- Deep generative models for semi-supervised learning.☆108Updated 8 years ago
- pytorch implementation of stacked denoising autoencoder☆20Updated 7 years ago
- Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"☆39Updated 8 years ago
- Denoising Variational Autoencoder☆34Updated 8 years ago
- A PyTorch Implementation of VaDE(https://arxiv.org/pdf/1611.05148.pdf)☆36Updated 4 years ago