jsikyoon / SequentialData-GANLinks
Tensorflow Implementation of GAN modeling for sequential data
☆69Updated 8 years ago
Alternatives and similar repositories for SequentialData-GAN
Users that are interested in SequentialData-GAN are comparing it to the libraries listed below
Sorting:
- Tensorflow implementation of "UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS"☆81Updated 8 years ago
- A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.☆41Updated 9 years ago
- Tensorflow implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"☆48Updated 7 years ago
- Wasserstein DCGAN in Tensorflow/Keras☆93Updated 8 years ago
- Tensorflow implementation of Adversarial Autoencoders (https://arxiv.org/abs/1511.05644)☆37Updated 7 years ago
- Variational Autoencoders (VAEs) in Theano for Images and Text☆54Updated 7 years ago
- Conditional generative adversarial networks for convolutional face generation☆100Updated 9 years ago
- A tensorflow implementation of informative generative adversarial network (InfoGAN ). I've added supervised loss to original InfoGAN.☆100Updated 8 years ago
- implementation for NIPS paper Triangle Generative Adversarial Networks☆60Updated 7 years ago
- AdaGAN: greedy iterative procedure to train mixtures of GANs☆78Updated 7 years ago
- Demo code for the paper ''Distributional Adversarial Networks''☆19Updated 7 years ago
- Forward Thinking NIPS 2017☆106Updated 7 years ago
- A Quick and Dirty Progressive Neural Network written in TensorFlow.☆51Updated 7 years ago
- GANs with multiple Discriminators☆78Updated 2 years ago
- A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)☆60Updated 8 years ago
- Batch normalized LSTM for tensorflow☆178Updated 8 years ago
- ☆92Updated 8 years ago
- Implementation of several different types of autoencoders☆116Updated 3 years ago
- Implement Generative Adversarial Nets by Tensorflow☆99Updated 8 years ago
- ☆121Updated 8 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆57Updated 7 years ago
- An implementation of DiscoGAN in tensorflow☆79Updated 8 years ago
- A variational recurrent neural network implementation in tensorflow☆104Updated 7 years ago
- Tensorflow implementation of a Hierarchical and Multiscale RNN, described in https://arxiv.org/abs/1609.01704☆135Updated 8 years ago
- Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"☆65Updated 8 years ago
- Implementation of the Incremental Sequence Learning algorithms described in the Incremental Sequence Learning article☆40Updated 8 years ago
- pytorch implementation of Rosca, Mihaela, et al. "Variational Approaches for Auto-Encoding Generative Adversarial Networks." arXiv prepri…☆81Updated 8 years ago
- TensorFlow implementation of normalizations such as Layer Normalization, HyperNetworks.☆111Updated 9 years ago
- TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"☆84Updated 8 years ago
- Reasonably-okay-performing implementation of a GAN and an adversarial autoencoder on MNIST.☆29Updated 9 years ago