LynnHo / VAE-TensorflowLinks
(beta-)VAE Tensorflow
☆51Updated 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:
- GANs with multiple Discriminators☆78Updated 3 years ago
- Replicating "Understanding disentangling in β-VAE"☆200Updated 7 years ago
- Generative moment matching networks☆150Updated 9 years ago
- NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching☆82Updated 7 years ago
- This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…☆208Updated 7 years ago
- Disconnected Manifold Learning for Generative Adversarial Networks.☆13Updated 6 years ago
- Code for "A-NICE-MC: Adversarial Training for MCMC"☆125Updated 7 years ago
- ☆116Updated 2 years ago
- ☆124Updated 7 years ago
- Implementation of VLAE☆214Updated 8 years ago
- source code of the paper Graphical Generative Adversarial Networks☆71Updated 6 years ago
- Implementation of Sequential Variational Autoencoder☆88Updated 8 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆87Updated 6 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆91Updated 7 years ago
- ☆201Updated 8 years ago
- Tensorflow implementation of Generative Latent Optimization (GLO) proposed by Facebook AI Research☆95Updated 8 years ago
- Tensorflow code of "autoencoding beyond pixels using a learned similarity metric"☆127Updated 7 years ago
- Tensorflow implementation of Adversarial Autoencoders (https://arxiv.org/abs/1511.05644)☆37Updated 7 years ago
- ☆117Updated 6 years ago
- Adversarially Learned Inference in Pytorch☆29Updated 8 years ago
- Wasserstein Adversarial Autoencoder Pytorch☆28Updated 7 years ago
- ☆48Updated 7 years ago
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆121Updated 7 years ago
- PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models☆155Updated 6 years ago
- Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)☆78Updated 8 years ago
- An implementation of VAEGAN (variational autoencoder + generative adversarial network).☆93Updated 8 years ago
- code for "Adversarial Feature Learning"☆239Updated 3 years ago
- Code for the paper "Improving GANs Using Optimal Transport"☆73Updated 7 years ago
- Implementation of Coulomb GANs☆62Updated 4 years ago
- Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR1…☆122Updated 7 years ago