kuc2477 / pytorch-wgan-gpLinks
PyTorch implementation of "Improved Training of Wasserstein GANs", arxiv:1704.00028
☆27Updated 7 years ago
Alternatives and similar repositories for pytorch-wgan-gp
Users that are interested in pytorch-wgan-gp are comparing it to the libraries listed below
Sorting:
- Odds and Ends and Things I've implemented.☆78Updated 6 years ago
- ☆34Updated 6 years ago
- Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch☆93Updated 2 years ago
- ☆32Updated 6 years ago
- [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance☆57Updated 7 years ago
- [TNNLS] Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling☆46Updated 4 years ago
- A pytorch implementation of Information Bottleneck GAN☆28Updated 6 years ago
- Simple Tensorflow implementation of "Stabilizing Adversarial Nets With Prediction Methods" (ICLR 2018)☆16Updated 7 years ago
- PyTorch implementation of CVPR'18 - Perturbative Neural Networks http://xujuefei.com/pnn.html☆57Updated 6 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 7 years ago
- Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …☆39Updated 2 years ago
- Implementation of "Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect" in pytorch☆37Updated 6 years ago
- Official PyTorch implementation of Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation (ICLR 2019)☆93Updated last year
- PyTorch Impl. of Prediction Optimizer (to stabilize GAN training)☆31Updated 7 years ago
- ☆13Updated 7 years ago
- Code for the paper "Banach Wasserstein GAN"☆31Updated 6 years ago
- Non-Adversarial Unsupervised Domain Mapping☆39Updated 6 years ago
- An implementation of shampoo☆77Updated 7 years ago
- Code for Variational Laplace Autoencoders☆54Updated 2 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated 2 years ago
- Generalized Framework for PyTorch☆32Updated 3 years ago
- Tensorflow implementation of convolutional Winner-Take-All Autoencdoer☆29Updated 7 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 5 years ago
- Tensorflow and Numpy Implementation of Net2Net (http://arxiv.org/abs/1511.05641)☆48Updated 7 years ago
- Capsule GAN: Unsupervised representation learning with CapsNet based Generative Adversarial Networks☆57Updated 6 years ago
- Tensorflow implementation of Generative Latent Optimization (GLO) proposed by Facebook AI Research☆95Updated 8 years ago
- Least Squares GANs in Tensorflow☆17Updated 8 years ago
- Lifelong Variational Autoencoder☆14Updated 7 years ago
- TensorFlow implementations of Wasserstein GAN with Gradient Penalty (WGAN-GP), Least Squares GAN (LSGAN), GANs with the hinge loss.☆44Updated 6 years ago
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆44Updated 7 years ago