dojoteef / dvaeLinks
Denoising Variational Autoencoder
☆34Updated 8 years ago
Alternatives and similar repositories for dvae
Users that are interested in dvae are comparing it to the libraries listed below
Sorting:
- Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"☆39Updated 8 years ago
- An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…☆72Updated 7 years ago
- Conditional variational autoencoder implementation in Torch☆105Updated 9 years ago
- Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders☆214Updated 5 years ago
- A variational recurrent neural network implementation in tensorflow☆104Updated 7 years ago
- Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction…☆62Updated 9 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆57Updated 7 years ago
- Implementation of VLAE☆215Updated 7 years ago
- Implementation of Sequential Variational Autoencoder☆88Updated 7 years ago
- Replication of Semi-Supervised Learning with Deep Generative Models☆100Updated 9 years ago
- ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators☆41Updated 7 years ago
- An implementation of VAEGAN (variational autoencoder + generative adversarial network).☆92Updated 8 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆117Updated 8 years ago
- Professor Forcing, NIPS'16☆45Updated 8 years ago
- Contains code relating to this arxiv paper https://arxiv.org/abs/1802.03761☆37Updated 7 years ago
- Demonising Adversarial Auto-encoder in PyTorch☆24Updated 6 years ago
- Implementation of auxiliary deep generative models for semi-supervised learning☆28Updated 9 years ago
- A machine learning library for PyTorch☆93Updated 2 years ago
- Deep variational inference in tensorflow☆56Updated 7 years ago
- Implementation and improvement of paper 'Learning Multiple Views with Orthogonal Denoising Autoencoders'☆16Updated last year
- ☆51Updated 9 years ago
- Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)☆75Updated 8 years ago
- Semi-Supervised Learning with Categorical VAE (experimented on MNIST)☆29Updated 7 years ago
- Denoising Adversairal Autoencoders☆40Updated 8 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 7 years ago
- VQ-VAE implementation / pytorch☆181Updated 7 years ago
- Code for experiments with our RNN regularizer, which stochastically forces units to maintain previous values.☆78Updated 7 years ago
- Tensorflow implementation of Adversarial Autoencoders (https://arxiv.org/abs/1511.05644)☆37Updated 7 years ago
- Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch☆71Updated 4 years ago
- AdaGAN: greedy iterative procedure to train mixtures of GANs☆76Updated 7 years ago