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
- ☆40Updated 6 years ago
- State space modeling with recurrent neural networks☆43Updated 6 years ago
- Unsupervised feature learning based on sparse-filtering☆55Updated 10 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- Mixed History Recurrent Neural Networks☆47Updated 6 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago
- Variational Recurrent Auto-Encoder using LSTM encoder/decoder networks☆54Updated 8 years ago
- ☆24Updated 4 years ago
- Code for density estimation with nonparametric cluster shapes.☆38Updated 8 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆115Updated 8 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- ☆29Updated 8 years ago
- Movies Recommendation with Hierarchical Poisson Factorization in Edward☆18Updated 7 years ago
- NPHC☆16Updated 3 years ago
- MADE: Masked Autoencoder for Distribution Estimation☆101Updated 4 years ago
- Variational Fourier Features☆83Updated 3 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- A python/numpy/cython implementation of dynamic time warping (DTW) for aligning time series.☆26Updated 6 years ago
- Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"☆26Updated 6 years ago
- Python implementation of the PR-SSM.☆52Updated 6 years ago
- Scalable GP Adapter for Time Series Classification☆13Updated 7 years ago
- Kalman Variational Auto-Encoder☆135Updated 6 years ago
- A Recurrent Latent Variable Model for Sequential Data☆24Updated 6 years ago
- Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python☆23Updated 9 years ago
- MLSS 2016 material.☆22Updated 8 years ago
- ☆12Updated 7 years ago
- Variational Recurrent Auto Encoder☆15Updated 8 years ago
- Variational Bayesian Mixture of Factor Analysers☆22Updated 10 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆66Updated 7 years ago