orobix / Visual-Feature-Attribution-Using-Wasserstein-GANs-PytorchLinks
Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch
☆93Updated 2 years ago
Alternatives and similar repositories for Visual-Feature-Attribution-Using-Wasserstein-GANs-Pytorch
Users that are interested in Visual-Feature-Attribution-Using-Wasserstein-GANs-Pytorch are comparing it to the libraries listed below
Sorting:
- ☆57Updated 8 years ago
- Capsule GAN: Unsupervised representation learning with CapsNet based Generative Adversarial Networks☆57Updated 6 years ago
- ☆82Updated 8 years ago
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆85Updated 7 years ago
- Least Squares GANs in Tensorflow☆17Updated 8 years ago
- Reviewing recent advances in classification on CIFAR 10 and 100 datasets☆37Updated 7 years ago
- A Tensorflow implementation of Representation Learning by Learning to Count☆107Updated 8 years ago
- Deeper DCGAN with AE stabilization☆38Updated last year
- ☆72Updated 5 years ago
- Official repository for "Why are Saliency Maps Noisy? Cause of and Solution to Noisy Saliency Maps".☆34Updated 6 years ago
- Visualizing Deep Neural Network Decisions: Prediction Difference Analysis☆121Updated 8 years ago
- Tensorflow implementation of paper "unsupervised image to image translation networks"☆69Updated 8 years ago
- Binary Stochastic Neurons in PyTorch☆57Updated 7 years ago
- Implementation of "GANs for Biological Image Synthesis"☆95Updated 8 years ago
- Denoising Adversairal Autoencoders☆41Updated 8 years ago
- An implementation of shampoo☆78Updated 7 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 7 years ago
- A variant of the Self Attention GAN named: FAGAN (Full Attention GAN)☆114Updated 7 years ago
- Odds and Ends and Things I've implemented.☆78Updated 6 years ago
- Pytorch implementation of contractive autoencoder on MNIST dataset☆53Updated 7 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 6 years ago
- A PyTorch implementation of the paper Mixup: Beyond Empirical Risk Minimization in PyTorch☆124Updated 7 years ago
- Lightweight framework for fast prototyping and training deep neural networks with PyTorch and TensorFlow☆220Updated 5 years ago
- Uncertainty interpretations of the neural network☆32Updated 7 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 6 years ago
- Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…☆149Updated 8 years ago
- ProGAN with Standard, WGAN, WGAN-GP, LSGAN, BEGAN, DRAGAN, Conditional GAN, InfoGAN, and Auxiliary Classifier GAN training methods☆52Updated last year
- Code to reproduce results from the paper "AmbientGAN: Generative models from lossy measurements"☆90Updated 7 years ago
- SupportNet: solving catastrophic forgetting in class incremental learning with support data☆35Updated 6 years ago
- PyTorch Implementation of ReSeg (https://arxiv.org/pdf/1511.07053.pdf)☆46Updated 7 years ago