echen / dirichlet-processLinks
Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)
☆306Updated 10 years ago
Alternatives and similar repositories for dirichlet-process
Users that are interested in dirichlet-process are comparing it to the libraries listed below
Sorting:
- Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation☆413Updated 6 years ago
- Edward content including papers, posters, and talks☆92Updated 5 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆83Updated 5 years ago
- The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).☆72Updated 8 years ago
- Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.☆191Updated 6 years ago
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 5 years ago
- Flexible Bayesian inference using TensorFlow☆142Updated 8 years ago
- Python package for modular Bayesian optimization☆137Updated 4 years ago
- Collection of jupyter notebooks for demonstrating software.☆169Updated 2 years ago
- Deep exponential families (DEFs)☆55Updated 7 years ago
- Bayesian dessert for Lasagne☆83Updated 8 years ago
- Code for Mondrian Forests (for classification and regression)☆266Updated 9 years ago
- Applied Probabilistic Programming & Bayesian Machine Learning (MIT IAP 2017)☆33Updated 8 years ago
- Poisson-Gamma dynamical systems☆17Updated 8 years ago
- ☆99Updated 7 years ago
- Structured Inference Networks for Nonlinear State Space Models☆273Updated 8 years ago
- Non-parametric Bayesian in Python, including Indian buffet process (IBP), hierarchical Dirichlet process (HDP).☆73Updated 10 years ago
- Poisson matrix factorization and autotagger☆43Updated 10 years ago
- ☆78Updated 8 years ago
- Variational and semi-supervised neural network toppings for Lasagne☆210Updated 9 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆69Updated 8 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
- Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation☆61Updated 4 years ago
- Hierarchical Dirichlet processes. Topic models where the data determine the number of topics. This implements Gibbs sampling.☆149Updated 8 years ago
- Stochastic gradient routines for Theano☆103Updated 7 years ago
- Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python☆45Updated 10 years ago
- Optimizers for machine learning☆183Updated 2 years ago
- ☆155Updated 6 years ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 7 years ago