biuyq / CT-GANLinks
☆48Updated 7 years ago
Alternatives and similar repositories for CT-GAN
Users that are interested in CT-GAN are comparing it to the libraries listed below
Sorting:
- GANs with multiple Discriminators☆78Updated 2 years ago
- NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching☆82Updated 6 years ago
- ☆63Updated 9 years ago
- Code for the models in "PixelVAE: A Latent Variable Model for Natural Images" (https://arxiv.org/abs/1611.05013☆93Updated 8 years ago
- implementation for NIPS paper Triangle Generative Adversarial Networks☆61Updated 7 years ago
- pytorch implementation of Rosca, Mihaela, et al. "Variational Approaches for Auto-Encoding Generative Adversarial Networks." arXiv prepri…☆80Updated 7 years ago
- Tensorflow implementation of Generative Latent Optimization (GLO) proposed by Facebook AI Research☆95Updated 7 years ago
- Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"☆110Updated 8 years ago
- This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversaria…☆111Updated 7 years ago
- Tensorflow implementation of Adversarial Autoencoders (https://arxiv.org/abs/1511.05644)☆38Updated 7 years ago
- Adversarially Learned Inference in Pytorch☆30Updated 8 years ago
- ☆123Updated 5 years ago
- Good Semi-Supervised Learning That Requires a Bad GAN☆179Updated 7 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- Generative moment matching networks☆150Updated 9 years ago
- Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch☆119Updated 7 years ago
- AdaGAN: greedy iterative procedure to train mixtures of GANs☆76Updated 7 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆101Updated 9 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
- Implementation of Coulomb GANs☆62Updated 3 years ago
- PixelVAE with or without regularization☆66Updated 8 years ago
- ☆69Updated 8 years ago
- Code of the paper `Disentangling factors of variation in deep representations using adversarial training` by Mathieu, Zaho, Ramesh, Sprec…☆21Updated 8 years ago
- Pytorch code for our ICLR 2017 paper "Layered-Recursive GAN for image generation"☆151Updated 4 years ago
- Learning Deep Parsimonious Representations, Deep Learning, Clustering, NIPS 2016☆14Updated 5 years ago
- An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…☆72Updated 7 years ago
- Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)☆125Updated 7 years ago
- ☆46Updated 7 years ago
- Code to reproduce results from the paper "AmbientGAN: Generative models from lossy measurements"☆90Updated 7 years ago
- code for steinGAN - Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning☆27Updated 6 years ago