ermongroup / markov-chain-ganLinks
Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)
☆81Updated 7 years ago
Alternatives and similar repositories for markov-chain-gan
Users that are interested in markov-chain-gan are comparing it to the libraries listed below
Sorting:
- Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"☆130Updated 8 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- PixelVAE with or without regularization☆69Updated 8 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 7 years ago
- Code for "A-NICE-MC: Adversarial Training for MCMC"☆126Updated 7 years ago
- A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.☆41Updated 9 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆57Updated 7 years ago
- Implementation of Coulomb GANs☆62Updated 4 years ago
- Deep variational inference in tensorflow☆57Updated 7 years ago
- Code of "Max-margin Deep Generative Models" (NIPS15)☆18Updated 10 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- Implementation of Sequential Variational Autoencoder☆90Updated 8 years ago
- Implementation of auxiliary deep generative models for semi-supervised learning☆28Updated 9 years ago
- Generative moment matching networks☆151Updated 9 years ago
- SCAN: Learning Abstract Hierarchical Compositional Visual Concepts☆54Updated 7 years ago
- Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"☆24Updated 7 years ago
- Demo code for the paper ''Distributional Adversarial Networks''☆19Updated 7 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆103Updated 9 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated 2 years ago
- Code for Attentive Recurrent Comparators☆57Updated 8 years ago
- Tensorflow implementation of Generative Latent Optimization (GLO) proposed by Facebook AI Research☆95Updated 8 years ago
- A Quick and Dirty Progressive Neural Network written in TensorFlow.☆51Updated 7 years ago
- RNNprop☆36Updated 8 years ago
- ☆62Updated 8 years ago
- A Tensorfflow implementation of Attend, Infer, Repeat☆81Updated 6 years ago
- Cluttered MNIST Dataset☆53Updated 10 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
- ☆62Updated 9 years ago
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Updated 7 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