bfarzin / pytorch_aaeLinks
Pytorch Adversarial Auto Encoder (AAE)
☆87Updated 6 years ago
Alternatives and similar repositories for pytorch_aae
Users that are interested in pytorch_aae are comparing it to the libraries listed below
Sorting:
- An adversarial autoencoder implementation in pytorch☆84Updated 6 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆103Updated 6 years ago
- Wasserstein Adversarial Autoencoder Pytorch☆27Updated 7 years ago
- Implementation of a convolutional Variational-Autoencoder model in pytorch.☆74Updated 6 years ago
- ☆91Updated 6 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆91Updated 7 years ago
- Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch☆42Updated 4 years ago
- ☆68Updated 6 years ago
- PyTorch implementation of Wasserstein Auto-Encoders☆295Updated 4 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 7 years ago
- ☆200Updated 8 years ago
- Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders☆214Updated 5 years ago
- PyTorch implementation of "Auto-Encoding Variational Bayes"☆41Updated 8 years ago
- Beta-VAE implementations in both PyTorch and Tensorflow☆22Updated 7 years ago
- This repository contains a pytorch implementation for the paper: Multi-Level Variational Autoencoder (https://arxiv.org/abs/1705.08841), …☆71Updated 3 years ago
- Conditional variational autoencoder implementation in Torch☆105Updated 9 years ago
- ☆109Updated 8 years ago
- Implementation of autoencoders in PyTorch☆57Updated 7 years ago
- Code for "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models", AAAI 2018.☆108Updated 7 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆231Updated 7 years ago
- Variational auto encoder in pytorch☆57Updated 6 years ago
- Conditional Autoencoders with Adversarial Information Factorization☆72Updated 6 years ago
- Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mand…☆106Updated 6 years ago
- Code for reproducing results from our paper, Robustness of conditional GANs to noisy labels, NIPS 2018☆40Updated 6 years ago
- PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models☆152Updated 5 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
- PyTorch implementation of Neural Processes☆89Updated 6 years ago
- Improving MMD-GAN training with repulsive loss function☆89Updated 2 years ago
- Variational Autoencoders with Gaussian Mixture Latent Space☆36Updated 8 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