yburda / iwae
Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT
☆206Updated 9 years ago
Alternatives and similar repositories for iwae:
Users that are interested in iwae are comparing it to the libraries listed below
- Variational and semi-supervised neural network toppings for Lasagne☆208Updated 8 years ago
- Deep generative models for semi-supervised learning.☆108Updated 8 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆99Updated 8 years ago
- ☆88Updated 8 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆114Updated 8 years ago
- repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs☆102Updated 7 years ago
- Efficient implementation of Generative Stochastic Networks☆316Updated 8 years ago
- A variational recurrent neural network implementation in tensorflow☆103Updated 7 years ago
- Deep exponential families (DEFs)☆55Updated 6 years ago
- Deep Generative Models with Stick-Breaking Priors☆95Updated 8 years ago
- MADE: Masked Autoencoder for Distribution Estimation☆101Updated 4 years ago
- Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"☆130Updated 7 years ago
- Implementation of the VRAE☆58Updated 3 years ago
- Generative moment matching networks☆149Updated 8 years ago
- Implementation of http://arxiv.org/abs/1511.05641 that lets one build a larger net starting from a smaller one.☆159Updated 8 years ago
- Gumbel-Softmax Variational Autoencoder with Keras☆133Updated 7 years ago
- Replication of the paper "Variational Dropout and the Local Reparameterization Trick" using Lasagne.☆33Updated 7 years ago
- Topics on theoretical, mathematical aspects of DL☆71Updated 8 years ago
- Code and models from the paper "Layer Normalization"☆244Updated 8 years ago
- Lasagne code for weight normalization☆87Updated 8 years ago
- Batch-Normalized LSTM (Recurrent Batch Normalization) implementation in Torch.☆91Updated 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
- ☆291Updated 6 years ago
- Hyperparameter optimization with approximate gradient☆66Updated 3 years ago
- Stochastic gradient routines for Theano☆102Updated 6 years ago
- TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"☆84Updated 7 years ago
- Semi-Supervised Learning with Categorical VAE (experimented on MNIST)☆28Updated 7 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 7 years ago
- Implementation of Adversarial Autoencoder with Theano☆40Updated 8 years ago
- supercell☆191Updated 7 years ago