aschein / pgdsLinks
Poisson-Gamma dynamical systems
☆17Updated 8 years ago
Alternatives and similar repositories for pgds
Users that are interested in pgds are comparing it to the libraries listed below
Sorting:
- Non-parametric Bayesian in Python, including Indian buffet process (IBP), hierarchical Dirichlet process (HDP).☆73Updated 10 years ago
- Deep exponential families (DEFs)☆55Updated 7 years ago
- Edward content including papers, posters, and talks☆92Updated 5 years ago
- Bayesian Poisson tensor factorization☆63Updated last year
- code for stochastic expectation propagation☆16Updated 10 years ago
- Deep Generative Models with Stick-Breaking Priors☆96Updated 9 years ago
- Deep generative models for semi-supervised learning.☆109Updated 9 years ago
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Updated 10 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 11 years ago
- Variational Fourier Features☆85Updated 4 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 5 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆68Updated 8 years ago
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- Bernoulli Embeddings for Text☆83Updated 8 years ago
- Structured Inference Networks for Nonlinear State Space Models☆275Updated 8 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago
- Implementation of the VRAE☆60Updated 4 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆117Updated 9 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 9 years ago
- NPHC☆17Updated 4 years ago
- Experiment code for Stochastic Gradient Hamiltonian Monte Carlo☆110Updated 7 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆83Updated 5 years ago
- Implementation of "Variational Inference for Monte Carlo Objectives"☆21Updated 5 years ago
- Exponential family embeddings (Poisson or Bernoulli) for discrete data☆32Updated 6 years ago
- Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)☆306Updated 10 years ago
- NumPy implementation of infinite latent feature model (aka Indian Buffet Process or IBP)☆51Updated 7 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT☆207Updated 9 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 11 years ago
- The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).☆72Updated 8 years ago