durner / STORN-keras
This is a STORN (Stochastical Recurrent Neural Network) implementation for keras!
☆22Updated 8 years ago
Alternatives and similar repositories for STORN-keras:
Users that are interested in STORN-keras are comparing it to the libraries listed below
- NPHC☆17Updated 3 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆116Updated 8 years ago
- Code for density estimation with nonparametric cluster shapes.☆38Updated 8 years ago
- Mixed History Recurrent Neural Networks☆47Updated 7 years ago
- A generic Monte Carlo method based on the Gumbel-Max trick.☆32Updated 8 years ago
- Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"☆26Updated 6 years ago
- LibCP -- A Library for Conformal Prediction☆11Updated 10 years ago
- ☆24Updated 4 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- Variational Bayesian Mixture of Factor Analysers☆23Updated 10 years ago
- Unsupervised feature learning based on sparse-filtering☆55Updated 10 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 4 years ago
- Movies Recommendation with Hierarchical Poisson Factorization in Edward☆18Updated 7 years ago
- Adversarial Non-linear Independent Component Analysis☆50Updated 7 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- MADE: Masked Autoencoder for Distribution Estimation☆102Updated 4 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆63Updated 6 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- Variational Fourier Features☆84Updated 3 years ago
- ☆40Updated 6 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- A clean TensorFlow implementation of Concrete Dropout☆23Updated 7 years ago
- State space modeling with recurrent neural networks☆45Updated 7 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆66Updated 7 years ago
- Variational Recurrent Auto-Encoder using LSTM encoder/decoder networks☆54Updated 8 years ago
- Scalable GP Adapter for Time Series Classification☆13Updated 7 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆38Updated 7 years ago
- Bayesian Poisson Tucker decomposition☆17Updated 8 years ago
- ☆16Updated 7 years ago