jojonki / AutoEncodersLinks
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
Sorting:
- extract features by maximizing mutual information☆148Updated 5 years ago
- pytorch neural network attention mechanism☆147Updated 6 years ago
- pytorch implementation of VAE-Gumble-Softmax☆63Updated 5 years ago
- ☆68Updated 6 years ago
- PyTorch implementation of Wasserstein Auto-Encoders☆295Updated 5 years ago
- Conditional variational autoencoder implementation in Torch☆105Updated 9 years ago
- Transformer Variational Autoencoder experiment☆50Updated 6 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆87Updated 6 years ago
- Notes and tutorials on "Mutual information and self-supervised learning"☆39Updated 5 years ago
- source code of the paper Graphical Generative Adversarial Networks☆71Updated 6 years ago
- O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks☆127Updated 5 years ago
- Generation of 128x128 bird images using VAE-GAN with additional feature matching loss☆90Updated 7 years ago
- ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators☆41Updated 7 years ago
- This repo is for our paper "ControlVAE: Controllable Variational Autoencoder" published at ICML 2020. It can be used for text generation,…☆95Updated 2 years ago
- A pytorch implementation of the paper: "Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks"☆82Updated 6 years ago
- SparseMax activation function implementation (ICML 2016) (PyTorch)☆28Updated 7 years ago
- [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch☆163Updated 7 years ago
- PyTorch implementation of a Variational Autoencoder with Gumbel-Softmax Distribution☆210Updated 6 years ago
- PyTorch Implementation of "Learning to Transfer: Unsupervised Domain Translation via Meta-Learning"☆33Updated 5 years ago
- VAEGAN from "Autoencoding beyond pixels using a learned similarity metric" implemented in Pytorch. Clean, clear and with comments.☆189Updated 7 years ago
- Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch☆42Updated 4 years ago
- Pytorch Implementation for paper: IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis☆39Updated 6 years ago
- GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint☆119Updated 5 years ago
- This is a pytorch implementation of Deep-INFOMAX.☆35Updated 5 years ago
- pytorch implementation Variational Autoencoder and Conditional Variational Autoencoder☆80Updated 6 years ago
- PyTorch implementation of "Auto-Encoding Variational Bayes"☆41Updated 8 years ago
- Keras implement of flow-based models☆224Updated 5 years ago
- Conditional Autoencoders with Adversarial Information Factorization☆72Updated 6 years ago
- Code for reproducing results from our paper, Robustness of conditional GANs to noisy labels, NIPS 2018☆40Updated 6 years ago
- Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders☆215Updated 5 years ago