davidandrzej / PyIBPLinks
NumPy implementation of infinite latent feature model (aka Indian Buffet Process or IBP)
☆49Updated 7 years ago
Alternatives and similar repositories for PyIBP
Users that are interested in PyIBP are comparing it to the libraries listed below
Sorting:
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 5 years ago
- Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation☆61Updated 4 years ago
- ☆155Updated 5 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 11 years ago
- General Latent Feature Modeling for Heterogeneous data☆49Updated last year
- Variational Fourier Features☆85Updated 4 years ago
- Collapsed Variational Bayes☆72Updated 5 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 5 years ago
- Poisson-Gamma dynamical systems☆17Updated 8 years ago
- Summaries and minimal implementations of ML / statistics research articles.☆39Updated 4 years ago
- ☆98Updated 7 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 years ago
- Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)☆306Updated 10 years ago
- Randomized online matrix factorization☆140Updated 5 years ago
- Deep exponential families (DEFs)☆55Updated 7 years ago
- Library of common tools for machine learning research.☆41Updated 7 years ago
- ☆96Updated 7 years ago
- ☆12Updated 2 years ago
- mean-field and structured VAEs for the IBP☆23Updated 7 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Bayesian nonparametric machine learning for Python☆227Updated 2 years ago
- Dirichlet MLE python library☆117Updated 2 weeks ago
- Deep GPs with GPy☆31Updated 9 years ago
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆69Updated 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
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- some tools for gaussian linear dynamical systems☆89Updated 7 years ago