pratikm141 / MMD-Variational-Autoencoder-Pytorch-InfoVAELinks
Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch
☆43Updated 5 years ago
Alternatives and similar repositories for MMD-Variational-Autoencoder-Pytorch-InfoVAE
Users that are interested in MMD-Variational-Autoencoder-Pytorch-InfoVAE are comparing it to the libraries listed below
Sorting:
- Variational Autoencoders with Gaussian Mixture Latent Space☆36Updated 8 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆39Updated 7 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆87Updated 6 years ago
- Variational Autoencoder with Spatial Broadcast Decoder☆35Updated 6 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Updated 7 years ago
- Beta-VAE implementations in both PyTorch and Tensorflow☆22Updated 7 years ago
- ☆91Updated 6 years ago
- Code for reproducing results from our paper, Robustness of conditional GANs to noisy labels, NIPS 2018☆40Updated 7 years ago
- Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…☆106Updated 6 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
- Gaussian Process Prior Variational Autoencoder☆87Updated 7 years ago
- Code for the "Neural Expectation Maximization" paper.☆126Updated 3 years ago
- ☆66Updated 6 years ago
- Temporal Difference Variational Auto-Encoder (TD-VAE) (Implementation in PyTorch)☆163Updated 2 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 5 years ago
- ☆26Updated 6 years ago
- Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders☆214Updated 5 years ago
- Code for "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models", AAAI 2018.☆111Updated 7 years ago
- Implementation of a convolutional Variational-Autoencoder model in pytorch.☆73Updated 6 years ago
- Code for image generation of Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Inf…☆144Updated 3 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆27Updated 6 years ago
- ☆110Updated 8 years ago
- ☆17Updated 7 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆207Updated 7 years ago
- Variational Autoencoder with Arbitrary Conditioning☆82Updated 2 years ago
- pytorch implementation of VAE-Gumble-Softmax☆63Updated 5 years ago
- Tensorflow implementation of "Representation Learning with Contrastive Predictive Coding"☆64Updated 7 years ago
- A PyTorch implementation of the blocks from the _A Simple Neural Attentive Meta-Learner_ paper☆98Updated 7 years ago
- An adversarial autoencoder implementation in pytorch☆86Updated 6 years ago
- Code for Variational Laplace Autoencoders☆54Updated 2 years ago