maitek / waae-pytorchLinks
Wasserstein Adversarial Autoencoder Pytorch
☆27Updated 7 years ago
Alternatives and similar repositories for waae-pytorch
Users that are interested in waae-pytorch are comparing it to the libraries listed below
Sorting:
- An adversarial autoencoder implementation in pytorch☆83Updated 6 years ago
- ☆200Updated 8 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆88Updated 6 years ago
- dcgan combined with vae in pytorch!☆117Updated 6 years ago
- PyTorch implementation of Wasserstein Auto-Encoders☆295Updated 4 years ago
- Improving MMD-GAN training with repulsive loss function☆89Updated 2 years ago
- Conditional Autoencoders with Adversarial Information Factorization☆72Updated 6 years ago
- Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset☆170Updated 7 years ago
- Implementation of autoencoders in PyTorch☆57Updated 7 years ago
- source code of the paper Graphical Generative Adversarial Networks☆71Updated 6 years ago
- NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching☆82Updated 6 years ago
- Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆244Updated 6 years ago
- ☆91Updated 6 years ago
- MMD-GAN: Towards Deeper Understanding of Moment Matching Network☆201Updated last year
- ☆123Updated 5 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆91Updated 7 years ago
- GANs with multiple Discriminators☆78Updated 2 years ago
- Implementation of VLAE☆215Updated 7 years ago
- ☆109Updated 7 years ago
- Implementation of a convolutional Variational-Autoencoder model in pytorch.☆74Updated 6 years ago
- Replicating "Understanding disentangling in β-VAE"☆198Updated 7 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆103Updated 6 years ago
- Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR1…☆122Updated 6 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 7 years ago
- Conditional variational autoencoder implementation in Torch☆105Updated 9 years ago
- A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)☆175Updated 7 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 Hyperspherical Variational Auto-Encoders☆232Updated 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
- Learning kernels to maximize the power of MMD tests☆210Updated 7 years ago