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 9 years ago
- code for stochastic expectation propagation☆16Updated 9 years ago
- Deep exponential families (DEFs)☆55Updated 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
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆69Updated 7 years ago
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- Edward content including papers, posters, and talks☆92Updated 4 years ago
- Deep generative models for semi-supervised learning.☆108Updated 8 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 5 years ago
- Exponential family embeddings (Poisson or Bernoulli) for discrete data☆32Updated 6 years ago
- Bayesian Poisson tensor factorization☆60Updated 9 months ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- Structured Inference Networks for Nonlinear State Space Models☆273Updated 7 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 11 years ago
- Convolutional Gaussian processes based on GPflow.☆95Updated 7 years ago
- Deep GPs with GPy☆31Updated 9 years ago
- Implementation of the VRAE☆60Updated 4 years ago
- Deep Generative Models with Stick-Breaking Priors☆96Updated 9 years ago
- Variational Fourier Features☆86Updated 4 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 5 years ago
- Summaries and minimal implementations of ML / statistics research articles.☆39Updated 4 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 9 years ago
- Deep variational inference library for Keras☆15Updated 8 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 7 years ago
- Code for "Sequential Neural Models with Stochastic Layers"☆117Updated 8 years ago
- ☆30Updated 7 years ago
- Bernoulli Embeddings for Text☆83Updated 7 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago