bruno-31 / ImprovedGAN-Tensorflow
A Tensorflow implementation of Improved GANs for semi supervised learning from Salimans et al.
☆21Updated 6 years ago
Alternatives and similar repositories for ImprovedGAN-Tensorflow
Users that are interested in ImprovedGAN-Tensorflow are comparing it to the libraries listed below
Sorting:
- This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)☆44Updated 5 years ago
- This is the code we used in our paper Manifold regularization with GANs for semi-supervised learning☆24Updated 6 years ago
- Demonising Adversarial Auto-encoder in PyTorch☆24Updated 6 years ago
- Demo for the paper titled "Learning to Compare: Relation Network for Few-Shot Learning"☆29Updated 7 years ago
- contains the code for models in the paper Robust, Deep and Inductive Anomaly Detection☆35Updated 7 years ago
- ALAD (Proceedings of IEEE ICDM 2018) official code☆135Updated 6 years ago
- Keras Implementation of adverserial autoencoder (AAE)☆56Updated 6 years ago
- Reproduction code for WGAN-LP☆15Updated 7 years ago
- Implementation of the Sliced Wasserstein Autoencoders☆91Updated 6 years ago
- Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"☆24Updated 7 years ago
- Tensorflow Implementation of dagmm: Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection, Zong et al, 2018☆57Updated 6 years ago
- Code for DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN☆15Updated 6 years ago
- TensorFlow implementation of "Good Semi-supervised Learning that Requires a Bad GAN"☆12Updated 7 years ago
- GANs with multiple Discriminators☆78Updated 2 years ago
- An adversarial autoencoder implementation in pytorch☆83Updated 6 years ago
- Code for reproducing results from our paper, Robustness of conditional GANs to noisy labels, NIPS 2018☆40Updated 6 years ago
- Generative Adversarial Network with Weight Normalization + ResNet☆22Updated 7 years ago
- Code for the paper "Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation", ICLR 2018☆63Updated 5 years ago
- Denoising Adversairal Autoencoders☆40Updated 7 years ago
- Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018☆130Updated 6 years ago
- Replication of Semi-Supervised Learning with Deep Generative Models☆98Updated 9 years ago
- A variant of the Self Attention GAN named: FAGAN (Full Attention GAN)☆113Updated 6 years ago
- Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks☆61Updated 7 years ago
- Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch☆93Updated last year
- Models for one class neural networks☆45Updated 6 years ago
- ☆23Updated 5 years ago
- Chainer implementation of Improving Generative Adversarial Networks with Denoising Feature Matching☆29Updated 7 years ago
- A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation☆50Updated 7 years ago
- Implementation of "Matching Networks for One Shot Learning" in Keras https://arxiv.org/abs/1606.04080☆53Updated 6 years ago
- Capsule GAN: Unsupervised representation learning with CapsNet based Generative Adversarial Networks☆57Updated 6 years ago