yburda / iwae
Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT
☆204Updated 8 years ago
Related projects ⓘ
Alternatives and complementary repositories for iwae
- Variational and semi-supervised neural network toppings for Lasagne☆208Updated 8 years ago
- Deep generative models for semi-supervised learning.☆109Updated 7 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆115Updated 8 years ago
- ☆89Updated 7 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆99Updated 8 years ago
- Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"☆130Updated 7 years ago
- Efficient implementation of Generative Stochastic Networks☆317Updated 8 years ago
- Generative moment matching networks☆148Updated 8 years ago
- Gumbel-Softmax Variational Autoencoder with Keras☆133Updated 7 years ago
- ☆64Updated 8 years ago
- Code and models from the paper "Layer Normalization"☆245Updated 8 years ago
- repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs☆99Updated 7 years ago
- A variational recurrent neural network implementation in tensorflow☆104Updated 6 years ago
- Topics on theoretical, mathematical aspects of DL☆71Updated 7 years ago
- Batch-Normalized LSTM (Recurrent Batch Normalization) implementation in Torch.☆92Updated 8 years ago
- Hyperparameter optimization with approximate gradient☆66Updated 3 years ago
- Implementation of http://arxiv.org/abs/1511.05641 that lets one build a larger net starting from a smaller one.☆160Updated 7 years ago
- ☆64Updated 7 years ago
- Implementation of the VRAE☆59Updated 3 years ago
- Deep exponential families (DEFs)☆56Updated 6 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆107Updated 7 years ago
- unitary matrix for hidden to hidden layer☆75Updated 7 years ago
- Implementation of Sequential Variational Autoencoder☆84Updated 7 years ago
- Implementations of "LSTM: A Search Space Odyssey" variants and their training results on the PTB dataset.☆96Updated 7 years ago
- Variational Seq2Seq model☆133Updated 8 years ago
- ☆137Updated 7 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆140Updated 6 years ago
- Deep Generative Models with Stick-Breaking Priors☆94Updated 8 years ago
- Convolutional Gaussian processes based on GPflow.☆95Updated 7 years ago
- Deep variational inference in tensorflow☆56Updated 6 years ago