JeremyCCHsu / Gumbel-Softmax-VAE-in-tensorflow
Semi-Supervised Learning with Categorical VAE (experimented on MNIST)
☆29Updated 7 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
- Deep generative models for semi-supervised learning.☆108Updated 8 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆101Updated 9 years ago
- Deep variational inference in tensorflow☆56Updated 6 years ago
- Code for experiments with our RNN regularizer, which stochastically forces units to maintain previous values.☆78Updated 7 years ago
- Variational Autoencoders (VAEs) in Theano for Images and Text☆54Updated 7 years ago
- Professor Forcing, NIPS'16☆45Updated 8 years ago
- A variational recurrent neural network implementation in tensorflow☆103Updated 7 years ago
- Implementation of "Variational Inference for Monte Carlo Objectives"☆21Updated 4 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- Tensorflow implementation of Adversarial Autoencoders (https://arxiv.org/abs/1511.05644)☆38Updated 7 years ago
- A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)☆59Updated 7 years ago
- Implementation of Sequential Variational Autoencoder☆88Updated 7 years ago
- Replication of Semi-Supervised Learning with Deep Generative Models☆98Updated 8 years ago
- ☆63Updated 8 years ago
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- Implementation of auxiliary deep generative models for semi-supervised learning☆28Updated 9 years ago
- Generative moment matching networks☆149Updated 8 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 for steinGAN - Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning☆26Updated 6 years ago
- A Lasagne and Theano implementation of the paper Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, and Ian Goodfellow.☆41Updated 8 years ago
- Lasagne code for weight normalization☆88Updated 9 years ago
- Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"☆110Updated 7 years ago
- MMD and Relative MMD test☆31Updated 9 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
- Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)☆76Updated 8 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆116Updated 8 years ago
- Code for paper "Full-Capacity Unitary Recurrent Neural Networks"☆54Updated 7 years ago
- Tensorflow implementation of Adversarial Autoencoders (with extra option to decorrelate style and classes)☆31Updated 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 8 years ago