dillonalaird / pysvihmm
Implementation of stochastic variational inference for Bayesian hidden Markov models.
☆65Updated 7 years ago
Alternatives and similar repositories for pysvihmm:
Users that are interested in pysvihmm are comparing it to the libraries listed below
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago
- code for stochastic expectation propagation☆16Updated 9 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Non-parametric Bayesian in Python, including Indian buffet process (IBP), hierarchical Dirichlet process (HDP).☆73Updated 9 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 10 years ago
- Repo for a paper about constructing priors on very deep models.☆72Updated 8 years ago
- Deep exponential families (DEFs)☆55Updated 7 years ago
- ☆40Updated 5 years ago
- Collaborative filtering with the GP-LVM☆25Updated 9 years ago
- AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)☆35Updated 6 years ago
- Variational Fourier Features☆83Updated 3 years ago
- Open access book on variational Bayesian methods written collaboratively☆28Updated 9 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 9 years ago
- A collection of Gaussian process models☆30Updated 7 years ago
- Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"☆31Updated 5 years ago
- A Python library for reinforcement learning using Bayesian approaches☆54Updated 9 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 7 years ago
- This is code associated with the paper: Broderick, T, Boyd, N, Wibisono, A, Wilson, AC, and Jordan, MI. Streaming variational Bayes. Neur…☆41Updated 10 years ago
- Convolutional Gaussian processes based on GPflow.☆96Updated 7 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- Repository for Chained Gaussian Processes☆14Updated 8 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 4 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 4 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆40Updated 8 years ago
- A Gaussian process toolbox in python☆42Updated 12 years ago
- Code and text for our NIPS 2015 paper on linear response variational Bayes☆19Updated 7 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆63Updated 6 years ago
- Gaussian Processes in Pytorch☆75Updated 4 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago