Awesome
Python package for Bayesian Machine Learning with scikit-learn API
Installing & Upgrading package
pip install https://github.com/AmazaspShumik/sklearn_bayes/archive/master.zip
pip install --upgrade https://github.com/AmazaspShumik/sklearn_bayes/archive/master.zip
Algorithms
- ARD Models
- Relevance Vector Regression (version 2.0) code, tutorial
- Relevance Vector Classifier (version 2.0) code, tutorial
- Type II Maximum Likelihood ARD Linear Regression code
- Type II Maximum Likelihood ARD Logistic Regression code, tutorial
- Variational Relevance Vector Regression code
- Variational Relevance Vector Classification code, tutorial
- Decomposition Models
- Linear Models
- Mixture Models
- Hidden Markov Models
Contributions:
There are several ways to contribute (and all are welcomed)
* improve quality of existing code (find bugs, suggest optimization, etc.)
* implement machine learning algorithm (it should be bayesian; you should also provide examples & notebooks)
* implement new ipython notebooks with examples