LMescheder / AdversarialVariationalBayes
This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".
☆206Updated 7 years ago
Alternatives and similar repositories for AdversarialVariationalBayes:
Users that are interested in AdversarialVariationalBayes are comparing it to the libraries listed below
- Implementation of VLAE☆215Updated 7 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆101Updated 9 years ago
- Replication of Semi-Supervised Learning with Deep Generative Models☆98Updated 8 years ago
- Replicating "Understanding disentangling in β-VAE"☆197Updated 6 years ago
- Implementation of Sequential Variational Autoencoder☆88Updated 7 years ago
- Generative moment matching networks☆149Updated 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 8 years ago
- Chainer implementation of adversarial autoencoder (AAE)☆257Updated 7 years ago
- Code for the models in "PixelVAE: A Latent Variable Model for Natural Images" (https://arxiv.org/abs/1611.05013☆93Updated 7 years ago
- Deep generative models for semi-supervised learning.☆108Updated 8 years ago
- Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling☆228Updated 6 years ago
- Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆245Updated 6 years ago
- Conditional variational autoencoder implementation in Torch☆105Updated 9 years ago
- VQ-VAE implementation / pytorch☆180Updated 7 years ago
- Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT☆206Updated 9 years ago
- Implementation of Real-NVP in Tensorflow☆102Updated 6 years ago
- Code for "A-NICE-MC: Adversarial Training for MCMC"☆126Updated 6 years ago
- Keras implementation of a Variational Auto Encoder with a Concrete Latent Distribution☆51Updated 7 years ago
- ☆110Updated 7 years ago
- Adversarially Learned Inference☆310Updated 6 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆116Updated 8 years ago
- Code for the paper "Adversarial Generator-Encoder Networks"☆286Updated 6 years ago
- ☆200Updated 7 years ago
- Tensorflow implementation of Adversarial Autoencoders (https://arxiv.org/abs/1511.05644)☆38Updated 7 years ago
- pytorch implementation of Rosca, Mihaela, et al. "Variational Approaches for Auto-Encoding Generative Adversarial Networks." arXiv prepri…☆80Updated 7 years ago
- PixelVAE with or without regularization☆66Updated 7 years ago
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆464Updated 6 years ago
- AdaGAN: greedy iterative procedure to train mixtures of GANs☆76Updated 7 years ago
- Tensorflow implementation of conditional variational auto-encoder for MNIST☆150Updated 8 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago