ermongroup / markov-chain-gan
Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)
☆80Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for markov-chain-gan
- Code for "A-NICE-MC: Adversarial Training for MCMC"☆126Updated 6 years ago
- ☆64Updated 8 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- Deep variational inference in tensorflow☆56Updated 6 years ago
- A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.☆41Updated 8 years ago
- PixelVAE with or without regularization☆66Updated 7 years ago
- ☆29Updated 7 years ago
- boundary-seeking generative adversarial networks☆46Updated 6 years ago
- Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"☆23Updated 7 years ago
- Demo code for the paper ''Distributional Adversarial Networks''☆19Updated 6 years ago
- Generative moment matching networks☆149Updated 8 years ago
- A Tensorfflow implementation of Attend, Infer, Repeat☆82Updated 5 years ago
- Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"☆130Updated 7 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆38Updated 5 years ago
- RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Base…☆38Updated 6 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆99Updated 8 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆58Updated 6 years ago
- ☆62Updated 7 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆114Updated 8 years ago
- Implementation of auxiliary deep generative models for semi-supervised learning☆28Updated 8 years ago
- Code for the models in "PixelVAE: A Latent Variable Model for Natural Images" (https://arxiv.org/abs/1611.05013☆93Updated 7 years ago
- Repo for a paper about constructing priors on very deep models.☆70Updated 8 years ago
- Implementation of Sequential Variational Autoencoder☆84Updated 7 years ago
- Code for paper "Convergent Learning: Do different neural networks learn the same representations?"☆85Updated 8 years ago
- AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)☆35Updated 6 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆39Updated 6 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 6 years ago
- ☆17Updated 7 years ago
- ☆12Updated 6 years ago