LynnHo / VAE-TensorflowLinks
(beta-)VAE Tensorflow
☆50Updated 7 years ago
Alternatives and similar repositories for VAE-Tensorflow
Users that are interested in VAE-Tensorflow are comparing it to the libraries listed below
Sorting:
- NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching☆82Updated 7 years ago
- Replicating "Understanding disentangling in β-VAE"☆199Updated 7 years ago
- ☆123Updated 7 years ago
- ☆200Updated 8 years ago
- Implementation of VLAE☆216Updated 7 years ago
- GANs with multiple Discriminators☆78Updated 2 years ago
- source code of the paper Graphical Generative Adversarial Networks☆71Updated 6 years ago
- This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…☆206Updated 7 years ago
- Tensorflow implementation of Generative Latent Optimization (GLO) proposed by Facebook AI Research☆95Updated 8 years ago
- Implementation of Sequential Variational Autoencoder☆90Updated 8 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- Code for "A-NICE-MC: Adversarial Training for MCMC"☆126Updated 7 years ago
- pytorch implementation of Rosca, Mihaela, et al. "Variational Approaches for Auto-Encoding Generative Adversarial Networks." arXiv prepri…☆81Updated 8 years ago
- A Tensorfflow implementation of Attend, Infer, Repeat☆81Updated 6 years ago
- Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆244Updated 7 years ago
- An implementation of VAEGAN (variational autoencoder + generative adversarial network).☆93Updated 8 years ago
- ☆48Updated 7 years ago
- Generative moment matching networks☆151Updated 9 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆87Updated 6 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
- Disentangled Variational AutoEncoder with PyTorch☆29Updated 6 years ago
- Wasserstein Adversarial Autoencoder Pytorch☆27Updated 7 years ago
- Implementation (with some experimentation) of the paper titled "VARIATIONAL DISCRIMINATOR BOTTLENECK: IMPROVING IMITATION LEARNING, INVER…☆152Updated 6 years ago
- ☆91Updated 6 years ago
- ☆117Updated 6 years ago
- AdaGAN: greedy iterative procedure to train mixtures of GANs☆76Updated 7 years ago
- Scaled MMD GAN☆36Updated 5 years ago
- Conditional Autoencoders with Adversarial Information Factorization☆72Updated 6 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆57Updated 7 years ago
- Tensorflow code of "autoencoding beyond pixels using a learned similarity metric"☆127Updated 7 years ago