google / joint_vae
Code to build VAE models that are jointly conditioned.
☆36Updated 7 years ago
Alternatives and similar repositories for joint_vae:
Users that are interested in joint_vae are comparing it to the libraries listed below
- PixelVAE with or without regularization☆66Updated 7 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆57Updated 7 years ago
- Unsupervised Learning by Predicting Noise☆90Updated 3 years ago
- Reference implementation for Structured Prediction with Deep Value Networks☆55Updated 7 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
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- Comparing Fixed and Adaptive Computation Time for Recurrent Neural Networks☆35Updated 7 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
- Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"☆24Updated 7 years ago
- Code in PyTorch for the convex combination linear IAF and the Householder Flow, J.M. Tomczak & M. Welling☆91Updated 7 years ago
- pytorch implementation of Rosca, Mihaela, et al. "Variational Approaches for Auto-Encoding Generative Adversarial Networks." arXiv prepri…☆80Updated 7 years ago
- Professor Forcing, NIPS'16☆45Updated 8 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- Implementation of auxiliary deep generative models for semi-supervised learning☆28Updated 9 years ago
- Generative Matching Networks☆29Updated 7 years ago
- Demo code for the paper ''Distributional Adversarial Networks''☆19Updated 7 years ago
- Code of the paper `Disentangling factors of variation in deep representations using adversarial training` by Mathieu, Zaho, Ramesh, Sprec…☆21Updated 7 years ago
- A Tensorfflow implementation of Attend, Infer, Repeat☆81Updated 6 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- Implementation of "Variational Inference for Monte Carlo Objectives"☆21Updated 4 years ago
- Experiments from "The Description Length of Deep Learning Models"☆10Updated 6 years ago
- Implementation of Hierarchical Long-term Video Prediction without Supervision☆90Updated 3 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 6 years ago
- Code for Attentive Recurrent Comparators☆57Updated 8 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated last year
- A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.☆41Updated 8 years ago
- Tensorflow implementation of Adversarial Autoencoders (https://arxiv.org/abs/1511.05644)☆38Updated 7 years ago
- ☆29Updated 7 years ago
- Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)☆80Updated 7 years ago