Public Research Tools
Speech recognition
1. Noise robustness
http://www1.icsi.berkeley.edu/Speech/papers/gelbart-ms/pointers/
2. Qualcomm-ICSI-OGI front end
http://www1.icsi.berkeley.edu/Speech/papers/qio/
3. RNN training
http://sourceforge.net/projects/currennt/
Machine Learning
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.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
Jacobei
https://github.com/jacobeisenstein/DPMM
Sickit
http://scikit-learn.org/0.11/index.html
Hains
http://code.google.com/p/haines/
8. Sparse SVMs
http://www.enm.bris.ac.uk/staff/xkh/
9. Lasso
http://www-stat.stanford.edu/~tibs/lasso.html
10. Sparse LU
http://crd-legacy.lbl.gov/~xiaoye/SuperLU/
11. Ensemble SVM
http://homes.esat.kuleuven.be/~claesenm/ensemblesvm/
12. Online learning toolkit
http://www.cais.ntu.edu.sg/~chhoi/libol/
13. VBEM-GMM
http://www.cs.ubc.ca/~murphyk/Software/VBEMGMM/index.html
14. pylearn2
http://deeplearning.net/software/pylearn2/
NLP toolkits and resources
1. Stanford tools
http://nlp.stanford.edu/software/
2. Traditional Chinese public dictionary and statistics
http://www.edu.tw/files/site_content/m0001/pin/yu7.htm?open
3. Idiom Traditional Chinese public words
http://dict.idioms.moe.edu.tw/cydic/index.htm
4. RNN toolkit from microsoft
http://research.microsoft.com/en-us/projects/rnn/
5. A bunch of resources
http://www-nlp.stanford.edu/links/statnlp.html
SID toolits
1. Alize from Avignon
http://mistral.univ-avignon.fr/download_en.html
2. Idiap
