tdhopper / notes-on-dirichlet-processesLinks
Notes explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation
☆413Updated 6 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
Sorting:
- Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)☆306Updated 10 years ago
- Python Version of BRML toolbox for Bayesian Reasoning and Machine Learning☆164Updated 10 years ago
- Python package for Bayesian Machine Learning with scikit-learn API☆521Updated 4 years ago
- Bayesian machine learning in Python☆76Updated 10 years ago
- Online inference for the Hierarchical Dirichlet Process. Fits hierarchical Dirichlet process topic models to massive data. The algorithm …☆146Updated 10 years ago
- CorEx or "Correlation Explanation" discovers a hierarchy of informative latent factors. This reference implementation has been superseded…☆306Updated 8 years ago
- The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).☆72Updated 8 years ago
- my blog☆269Updated 3 years ago
- Machine Learning Tool Guides and Theory Notes☆424Updated 9 years ago
- Code for Mondrian Forests (for classification and regression)☆266Updated 9 years ago
- A library for creating and using probabilistic graphical models☆76Updated 7 years ago
- Python package for modular Bayesian optimization☆137Updated 4 years ago
- Simple structured learning framework for python☆669Updated 4 years ago
- Bayesian Python: Bayesian inference tools for Python☆701Updated 3 months ago
- Flexible Bayesian inference using TensorFlow☆142Updated 8 years ago
- Bayesian Optimization using xgboost and sklearn API☆226Updated 9 years ago
- Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/pre…☆127Updated 9 years ago
- Python library for multilinear algebra and tensor factorizations☆406Updated 7 years ago
- PCA that iteratively replaces missing data☆222Updated last year
- ☆78Updated 8 years ago
- Bayesian Logistic Regression using Laplace approximations to the posterior.☆48Updated 8 years ago
- The repository contains code walkthroughs which introduces Deep Learning in the field of Natural Language Processing.☆109Updated 9 years ago
- Render probabilistic graphical models using matplotlib☆684Updated last week
- Solving NLP problems with Vowpal Wabbit: Tutorial and more☆183Updated 9 years ago
- Bayesian dessert for Lasagne☆83Updated 8 years ago
- Repository of my thesis "Understanding Random Forests"☆526Updated 9 years ago
- Slides and exercises for the Deep Learning Summer School 2015 programming tutorials☆389Updated 9 years ago
- Courera Version of Graphical Model.. Cooperate with Jian Guo.☆122Updated 8 years ago
- Bayesian nonparametric machine learning for Python☆233Updated 2 years ago
- A collection of tutorials on neural networks, using Theano☆220Updated 2 years ago