tdhopper / notes-on-dirichlet-processes
Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation
☆414Updated 5 years ago
Alternatives and similar repositories for notes-on-dirichlet-processes:
Users that are interested in notes-on-dirichlet-processes are comparing it to the libraries listed below
- Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)☆302Updated 9 years ago
- Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning☆162Updated 9 years ago
- Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke☆895Updated 3 years ago
- Render probabilistic graphical models using matplotlib☆677Updated this week
- ☆78Updated 8 years ago
- Python package for Bayesian Machine Learning with scikit-learn API☆515Updated 3 years ago
- Bayesian machine learning in Python☆76Updated 9 years ago
- Implements supervised topic models with a categorical response.☆64Updated 3 years ago
- Bayesian Python: Bayesian inference tools for Python☆692Updated 3 months ago
- Solving NLP problems with Vowpal Wabbit: Tutorial and more☆182Updated 8 years ago
- CorEx or "Correlation Explanation" discovers a hierarchy of informative latent factors. This reference implementation has been superseded…☆305Updated 7 years ago
- Simple structured learning framework for python☆665Updated 3 years ago
- Edward content including papers, posters, and talks☆90Updated 4 years ago
- Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath☆843Updated 4 years ago
- Hierarchical Dirichlet processes. Topic models where the data determine the number of topics. This implements Gibbs sampling.☆150Updated 7 years ago
- MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice☆333Updated 2 years ago
- Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models☆489Updated 7 years ago
- PCA that iteratively replaces missing data☆220Updated last year
- Repo for GIAN fairness course☆54Updated 8 years ago
- PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course☆96Updated 7 years ago
- my blog☆267Updated 2 years ago
- A library for creating and using probabilistic graphical models☆76Updated 7 years ago
- A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2016☆224Updated 8 years ago
- Bayesian Optimization using xgboost and sklearn API☆225Updated 8 years ago
- Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation☆61Updated 4 years ago
- Machine Learning Tool Guides and Theory Notes☆421Updated 8 years ago
- This repository is a proof of concept toolbox for using Deep Belief Nets for Topic Modeling in Python.☆144Updated 9 years ago
- Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics☆537Updated 2 years ago
- Implementation of various topic models☆369Updated 4 years ago