lucabergamini / VAEGAN-PYTORCHLinks
VAEGAN from "Autoencoding beyond pixels using a learned similarity metric" implemented in Pytorch. Clean, clear and with comments.
☆191Updated 8 years ago
Alternatives and similar repositories for VAEGAN-PYTORCH
Users that are interested in VAEGAN-PYTORCH are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of Adversarially Learned Inference (BiGAN).☆80Updated 7 years ago
- Implementation of Conditional Generative Adversarial Networks in PyTorch☆108Updated 7 years ago
- pyTorch implementation of Spectral Normalization for Generative Adversarial Networks☆247Updated 3 years ago
- dcgan combined with vae in pytorch!☆117Updated 7 years ago
- implement infoGAN using pytorch☆153Updated 7 years ago
- PyTorch implementation of Wasserstein Auto-Encoders☆297Updated 5 years ago
- PyTorch Implementation of InfoGAN☆327Updated 3 years ago
- Improved WGAN in Pytorch☆440Updated 2 years ago
- This is an almost exact replica in PyTorch of the Tensorflow version of Self-Attention GAN released by Google Brain in August 2018.☆175Updated last year
- Dual Discriminator Generative Adversarial Nets☆63Updated 8 years ago
- ☆279Updated 7 years ago
- Variational Autoencoder implemented with PyTorch, Trained over CelebA Dataset☆171Updated 8 years ago
- code for "Adversarial Feature Learning"☆239Updated 3 years ago
- MMD-GAN: Towards Deeper Understanding of Moment Matching Network☆201Updated 2 years ago
- An empirical study on evaluation metrics of generative adversarial networks.☆374Updated 6 years ago
- Pytorch implementation of paper "Autoencoding beyond pixels using a learned similarity metric"☆48Updated 6 years ago
- An adversarial autoencoder implementation in pytorch☆86Updated 6 years ago
- DCGAN LSGAN WGAN-GP DRAGAN PyTorch☆195Updated 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
- Generative image model with learned similarity measures☆444Updated 8 years ago
- Code for "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models", AAAI 2018.☆111Updated 7 years ago
- Paper by Miyato et al. https://openreview.net/forum?id=B1QRgziT-☆678Updated 7 years ago
- CPU/GPU/TPU implementation of the Inception Score☆79Updated 5 years ago
- Pytorch implementation of semi-supervised DCGAN based on "Improved Techniques for Training GANs"☆41Updated 3 years ago
- Conditional Autoencoders with Adversarial Information Factorization☆73Updated 7 years ago
- Improving MMD-GAN training with repulsive loss function☆90Updated 3 years ago
- Self-Attention Generative Adversarial Networks Implementation in PyTorch☆75Updated 7 years ago
- Implementation of a convolutional Variational-Autoencoder model in pytorch.☆73Updated 6 years ago
- Implementation of autoencoders in PyTorch☆57Updated 7 years ago
- Convolutional variational autoencoder in PyTorch☆46Updated 7 years ago