chaoshangcs / VIGAN
PyTorch implementation of VIGAN
☆40Updated 7 years ago
Alternatives and similar repositories for VIGAN:
Users that are interested in VIGAN are comparing it to the libraries listed below
- MisGAN: Learning from Incomplete Data with GANs☆80Updated last year
- This repository contains a pytorch implementation for the paper: Multi-Level Variational Autoencoder (https://arxiv.org/abs/1705.08841), …☆70Updated 3 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 7 years ago
- An adversarial autoencoder implementation in pytorch☆83Updated 5 years ago
- source code of the paper Graphical Generative Adversarial Networks☆71Updated 5 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆86Updated 6 years ago
- Implementation of a convolutional Variational-Autoencoder model in pytorch.☆74Updated 5 years ago
- ☆25Updated 6 years ago
- Pytorch implementation of our article "Clustering-driven Deep Embedding with Pairwise Constraints"☆27Updated 6 years ago
- Anonymized code for ICLR 2019 submission "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆20Updated 6 years ago
- Mixture of Generative Adversarial Networks for Clustering☆16Updated 6 years ago
- Code for reproducing results from our paper, Robustness of conditional GANs to noisy labels, NIPS 2018☆40Updated 6 years ago
- ☆68Updated 5 years ago
- Implementation of autoencoders in PyTorch☆57Updated 7 years ago
- Implementation of Deep Linear Discriminant Analysis (DeepLDA)☆48Updated 8 years ago
- ☆141Updated 7 years ago
- ☆24Updated 8 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
- Code for Invariant Rep. Without Adversaries (NIPS 2018)☆35Updated 5 years ago
- Variational Auto-encoder with Non-parametric Bayesian Prior☆42Updated 7 years ago
- Improving MMD-GAN training with repulsive loss function☆89Updated 2 years ago
- Deep Learning under Privileged Information Using Heteroscedastic Dropout (CVPR 2018, Official Repo)☆38Updated 3 years ago
- Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch☆42Updated 4 years ago
- Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks☆60Updated 7 years ago
- GANs with multiple Discriminators☆78Updated 2 years ago
- Code for Unsupervised Learning via Meta-Learning.☆65Updated 4 years ago
- Joint distribution optimal transportation for domain adaptation☆101Updated 7 years ago
- PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models☆149Updated 5 years ago
- Demonising Adversarial Auto-encoder in PyTorch☆24Updated 6 years ago
- HexaGAN: Generative Adversarial Nets for Real World Classification (ICML 2019)☆21Updated 3 years ago