layerwise / AAE-tensorflowLinks
Tensorflow implementation of Adversarial Autoencoders (https://arxiv.org/abs/1511.05644)
☆38Updated 7 years ago
Alternatives and similar repositories for AAE-tensorflow
Users that are interested in AAE-tensorflow are comparing it to the libraries listed below
Sorting:
- A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.☆41Updated 9 years ago
- pytorch implementation of Rosca, Mihaela, et al. "Variational Approaches for Auto-Encoding Generative Adversarial Networks." arXiv prepri…☆80Updated 7 years ago
- Implementation of Adversarial Autoencoder with Theano☆40Updated 8 years ago
- ☆63Updated 8 years ago
- Learning Deep Parsimonious Representations, Deep Learning, Clustering, NIPS 2016☆14Updated 5 years ago
- Denoising Adversairal Autoencoders☆40Updated 7 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- Demo code for the paper ''Distributional Adversarial Networks''☆19Updated 7 years ago
- Deep variational inference in tensorflow☆56Updated 7 years ago
- Noise-as-targets representation learning for cifar10. Implementation based on the paper "Unsupervised Learning by Predicting Noise" by Bo…☆23Updated 7 years ago
- Tensorflow implementation of Adversarial Autoencoders (with extra option to decorrelate style and classes)☆31Updated 8 years ago
- A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)☆59Updated 7 years ago
- NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching☆82Updated 6 years ago
- Keras implementation of a Variational Auto Encoder with a Concrete Latent Distribution☆51Updated 7 years ago
- GANs with multiple Discriminators☆78Updated 2 years ago
- Code for Attentive Recurrent Comparators☆57Updated 8 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆101Updated 9 years ago
- Unsupervised Learning by Predicting Noise☆90Updated 3 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- Code of "Max-margin Deep Generative Models" (NIPS15)☆18Updated 9 years ago
- Implementation of auxiliary deep generative models for semi-supervised learning☆28Updated 9 years ago
- PixelVAE with or without regularization☆66Updated 7 years ago
- This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…☆206Updated 7 years ago
- Tensorflow Implementation of GAN modeling for sequential data☆69Updated 7 years ago
- adversarial autoencoder (AAE) with tensorflow for MNIST☆19Updated 7 years ago
- On the decision boundary of deep neural networks☆38Updated 6 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆57Updated 7 years ago
- A tensorflow implementation of informative generative adversarial network (InfoGAN ). I've added supervised loss to original InfoGAN.☆101Updated 8 years ago
- Generative moment matching networks☆149Updated 8 years ago
- Tensorflow implementation of "UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS"☆81Updated 8 years ago