jojonki / AutoEncoders
AE, VAE, and CVAE in PyTorch
☆66Updated 6 years ago
Alternatives and similar repositories for AutoEncoders:
Users that are interested in AutoEncoders are comparing it to the libraries listed below
- pytorch implementation of VAE-Gumble-Softmax☆62Updated 4 years ago
- ☆68Updated 5 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆86Updated 6 years ago
- source code of the paper Graphical Generative Adversarial Networks☆71Updated 5 years ago
- Conditional variational autoencoder implementation in Torch☆105Updated 9 years ago
- extract features by maximizing mutual information☆149Updated 5 years ago
- pytorch neural network attention mechanism☆147Updated 6 years ago
- PyTorch implementation of Wasserstein Auto-Encoders☆295Updated 4 years ago
- ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators☆40Updated 6 years ago
- Generation of 128x128 bird images using VAE-GAN with additional feature matching loss☆89Updated 6 years ago
- Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch☆42Updated 4 years ago
- VAEGAN from "Autoencoding beyond pixels using a learned similarity metric" implemented in Pytorch. Clean, clear and with comments.☆187Updated 7 years ago
- Pytorch Implementation for paper: IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis☆39Updated 6 years ago
- [ICML 2020] code for the flooding regularizer proposed in "Do We Need Zero Training Loss After Achieving Zero Training Error?"☆91Updated 2 years ago
- Mixture of Generative Adversarial Networks for Clustering☆16Updated 6 years ago
- PyTorch implementation of "Auto-Encoding Variational Bayes"☆41Updated 7 years ago
- Convolutional Variational Autoencoder☆34Updated 5 years ago
- Pytorch Implementation of "Neural Discrete Representation Learning"☆86Updated 6 years ago
- Implementation of autoencoders in PyTorch☆57Updated 7 years ago
- Transformer Variational Autoencoder experiment☆48Updated 6 years ago
- pytorch implementation Variational Autoencoder and Conditional Variational Autoencoder☆79Updated 6 years ago
- A pytorch implementation of the paper: "Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks"☆80Updated 6 years ago
- Variational autoencoders: VAE, gaussian mixture VAE (GMVAE), and a basic ladder VAE (LVAE)☆46Updated 4 years ago
- Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)☆70Updated 7 years ago
- codes for Variational Autoencoder for Semi-supervised Text Classification☆40Updated 6 years ago
- Various GANs in pytorch environment☆49Updated 6 years ago
- An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…☆72Updated 6 years ago
- Variational auto encoder in pytorch☆56Updated 5 years ago
- ☆84Updated 10 years ago
- PyTorch Implementation of "Learning to Transfer: Unsupervised Domain Translation via Meta-Learning"☆33Updated 5 years ago