Readings

Bayesian approaches:

1. general Bayesian inference: doc and tool

http://ksvanhorn.com/bayes/free-bayes-software.html

2. The Variantional Bayesian toolkit:

http://www.gatsby.ucl.ac.uk/vbayes/vbsoftware.html

The sampling based Bayesian approach can be obtained here:

http://www.mrc-bsu.cam.ac.uk/bugs/

3. Topic models from David Blei

http://www.cs.princeton.edu/~blei/topicmodeling.html

4. MCMC approaches also here

http://www.mppmu.mpg.de/bat/

http://www.mpe.mpg.de/~aws/BayesForum_201204_KK.pdf

5. Topic models Biography

http://www.cs.princeton.edu/~mimno/topics.html

6. Gibbs LDA

http://gibbslda.sourceforge.net/

7. Tools for DPMM

GitHub

https://github.com/jacobeisenstein/DPMM

Sickit

http://scikit-learn.org/0.11/index.html

Hains

http://code.google.com/p/haines/

Spase SVMs

http://www.enm.bris.ac.uk/staff/xkh/

NLP toolkits

1. Stanford tools

http://nlp.stanford.edu/software/

SID toolits

1. Alize from Avignon

http://mistral.univ-avignon.fr/download_en.html

2. Idiap

https://github.com/bioidiap/xbob.spkrec

http://www.idiap.ch/~marcel/professional/Resources.html