hannawallach / dpmm
Dirichlet process mixture model.
☆26Updated 10 years ago
Alternatives and similar repositories for dpmm:
Users that are interested in dpmm are comparing it to the libraries listed below
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 4 years ago
- General Latent Feature Modeling for Heterogeneous data☆48Updated 10 months ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 10 years ago
- Code and text for our NIPS 2015 paper on linear response variational Bayes☆19Updated 7 years ago
- Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation☆61Updated 4 years ago
- Variational Fourier Features☆83Updated 3 years ago
- Collapsed Variational Bayes☆68Updated 5 years ago
- code for stochastic expectation propagation☆16Updated 9 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 4 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- ☆29Updated 7 years ago
- Poisson-Gamma dynamical systems☆16Updated 8 years ago
- ☆32Updated 4 years ago
- Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python☆45Updated 9 years ago
- Non-parametric Bayesian in Python, including Indian buffet process (IBP), hierarchical Dirichlet process (HDP).☆73Updated 9 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆65Updated 7 years ago
- an implementation of latent Dirichlet allocation (LDA) with stochastic variational inference☆20Updated 7 years ago
- Repo for a paper about constructing priors on very deep models.☆72Updated 8 years ago
- NumPy implementation of infinite latent feature model (aka Indian Buffet Process or IBP)☆49Updated 6 years ago
- ☆16Updated 9 years ago
- Pareto smoothed importance sampling (PSIS) and PSIS leave-one-out cross-validation for Python and Matlab/Octave☆75Updated 10 months ago
- Deep exponential families (DEFs)☆55Updated 6 years ago
- mean-field and structured VAEs for the IBP☆23Updated 6 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- ☆11Updated last year
- 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
- sgmcmc: a stochastic gradient MCMC package for R☆28Updated 4 years ago
- Movies Recommendation with Hierarchical Poisson Factorization in Edward☆18Updated 7 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆63Updated 6 years ago
- Dirichlet process mixture model code in Matlab. Sampling and variational.☆70Updated 12 years ago