shinyflight / HexaGANLinks
HexaGAN: Generative Adversarial Nets for Real World Classification (ICML 2019)
☆21Updated 4 years ago
Alternatives and similar repositories for HexaGAN
Users that are interested in HexaGAN are comparing it to the libraries listed below
Sorting:
- An adversarial autoencoder implementation in pytorch☆85Updated 6 years ago
- Official implementation of "On GANs and GMMs"☆67Updated 5 years ago
- Tensorflow implementation of Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions (CVPR 2019)☆32Updated 5 years ago
- [NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks☆81Updated 4 years ago
- Improving MMD-GAN training with repulsive loss function☆90Updated 2 years ago
- Spectral Normalization and Projection Discriminator☆18Updated 6 years ago
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago
- ☆22Updated 5 years ago
- Code for ICML2020 "Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation"☆91Updated 4 years ago
- Official adversarial mixup resynthesis repository☆35Updated 5 years ago
- [TNNLS] Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling☆46Updated 4 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆87Updated 6 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- Variational autoencoders: VAE, gaussian mixture VAE (GMVAE), and a basic ladder VAE (LVAE)☆47Updated 5 years ago
- ☆66Updated 6 years ago
- ICML'19: How does Disagreement Help Generalization against Label Corruption?☆21Updated 6 years ago
- Source code for ICLR 2019 paper☆24Updated 4 years ago
- Source code for "Towards a Deeper Understanding of Adversarial Losses under a Discriminative Adversarial Network Setting"☆42Updated 3 years ago
- Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018☆121Updated 5 years ago
- Pytorch implementation of semi-supervised DCGAN based on "Improved Techniques for Training GANs"☆41Updated 3 years ago
- Wasserstein Based Domain Adaptation Model☆46Updated 6 years ago
- Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch☆42Updated 4 years ago
- Tensorflow implementation of "Representation Learning with Contrastive Predictive Coding"☆64Updated 6 years ago
- Code for "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models", AAAI 2018.☆110Updated 7 years ago
- Gold Loss Correction☆87Updated 6 years ago
- Code for reproducing results from our paper, Robustness of conditional GANs to noisy labels, NIPS 2018☆40Updated 6 years ago
- MINE: Mutual Information Neural Estimation in pytorch (unofficial)☆205Updated 7 years ago
- Generative Adversarial Minority Oversampling☆33Updated 5 years ago
- Implementation of Diversity-Sensitive Conditional Generative Adversarial Networks (ICLR 2019)☆98Updated 4 years ago
- Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper☆93Updated 7 years ago