JeremyCCHsu / Gumbel-Softmax-VAE-in-tensorflowLinks
Semi-Supervised Learning with Categorical VAE (experimented on MNIST)
☆29Updated 8 years ago
Alternatives and similar repositories for Gumbel-Softmax-VAE-in-tensorflow
Users that are interested in Gumbel-Softmax-VAE-in-tensorflow are comparing it to the libraries listed below
Sorting:
- Deep generative models for semi-supervised learning.☆109Updated 9 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆104Updated 9 years ago
- This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…☆208Updated 7 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆117Updated 9 years ago
- Generative moment matching networks☆150Updated 9 years ago
- Implementation of "Variational Inference for Monte Carlo Objectives"☆21Updated 5 years ago
- A variational recurrent neural network implementation in tensorflow☆104Updated 8 years ago
- Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"☆110Updated 8 years ago
- Replication of Semi-Supervised Learning with Deep Generative Models☆100Updated 9 years ago
- Implementation of VLAE☆214Updated 8 years ago
- Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)☆74Updated 9 years ago
- Implementation of Sequential Variational Autoencoder☆88Updated 8 years ago
- ☆62Updated 9 years ago
- Deep variational inference in tensorflow☆57Updated 7 years ago
- Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT☆208Updated 10 years ago
- Conditional variational autoencoder implementation in Torch☆107Updated 9 years ago
- Code for "A-NICE-MC: Adversarial Training for MCMC"☆125Updated 7 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
- Noise-as-targets representation learning for cifar10. Implementation based on the paper "Unsupervised Learning by Predicting Noise" by Bo…☆23Updated 8 years ago
- Code for the models in "PixelVAE: A Latent Variable Model for Natural Images" (https://arxiv.org/abs/1611.05013☆94Updated 8 years ago
- MMD and Relative MMD test☆31Updated 10 years ago
- boundary-seeking generative adversarial networks☆46Updated 8 years ago
- Code for some of the experiments I did with variational autoencoders on multi-modality and atari video prediction. Atari video prediction…☆62Updated 9 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 5 years ago
- Code to build VAE models that are jointly conditioned.☆36Updated 8 years ago
- ☆92Updated 8 years ago
- Tensorflow implementation of Adversarial Autoencoders (https://arxiv.org/abs/1511.05644)☆37Updated 8 years ago
- Professor Forcing, NIPS'16☆45Updated 8 years ago
- A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.☆41Updated 9 years ago
- Demo code for the paper ''Distributional Adversarial Networks''☆19Updated 8 years ago