durner / STORN-kerasLinks
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
Sorting:
- State space modeling with recurrent neural networks☆45Updated 7 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- Mixed History Recurrent Neural Networks☆47Updated 7 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 10 years ago
- Variational Bayesian Mixture of Factor Analysers☆24Updated 10 years ago
- ☆40Updated 6 years ago
- Movies Recommendation with Hierarchical Poisson Factorization in Edward☆18Updated 8 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 9 years ago
- Implementation of linear CorEx and temporal CorEx.☆37Updated 3 years ago
- Variational Fourier Features☆86Updated 4 years ago
- Unsupervised feature learning based on sparse-filtering☆55Updated 10 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 6 years ago
- Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"☆26Updated 6 years ago
- Exponential family embeddings (Poisson or Bernoulli) for discrete data☆32Updated 6 years ago
- Sparse Beta-Divergence Tensor Factorization Library☆48Updated last month
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- MLSS 2016 material.☆22Updated 9 years ago
- Variational Recurrent Auto-Encoder using LSTM encoder/decoder networks☆55Updated 9 years ago
- Scalable GP Adapter for Time Series Classification☆13Updated 7 years ago
- Variational Recurrent Auto Encoder☆15Updated 9 years ago
- Clockwork RNN in TensorFlow☆61Updated 7 years ago
- ☆19Updated 9 years ago
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- A clean TensorFlow implementation of Concrete Dropout☆22Updated 7 years ago
- Hierarchical Mixture of Experts,Mixture Density Neural Network☆45Updated 8 years ago
- ☆12Updated 2 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 5 years ago
- TensorFlow implementation of the method from Variational Dropout Sparsifies Deep Neural Networks, Molchanov et al. (2017)☆16Updated 8 years ago
- Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python☆23Updated 9 years ago
- Wasserstein regularization for sparse multi-task regression☆15Updated 4 years ago