- The Bow Toolkit - http://www.cs.cmu.edu/~mccallum/bow/
A library of C code useful for writing statistical text analysis, language modeling and information retrieval programs. The current distribution includes the library, as well as front-ends for document classification (rainbow), document retrieval (arrow) and document clustering (crossbow). [Free]
- AutoClass - http://ic-www.arc.nasa.gov/ic/projects/bayes-group/autoclass/
Takes a database of cases described by a combination of real and discrete valued attributes, and automatically finds the natural classes in that data. It can be seen as a Naive Bayes classifier where the class node is hidden. [Free]
- WinMine Toolkit - http://research.microsoft.com/~dmax/WinMine/tooldoc.htm
Tools for learning dependency networks or Bayesian networks from data. [Free]
- Bayes Net Toolbox for Matlab - http://www.cs.berkeley.edu/~murphyk/Bayes/bnt.html
Supports several inference algorithms and learning algorithms. Allows simulation of static and dynamic networks, including HMMs, IOHMMs, and Kalman filters.
- FastMix - http://www.cs.cmu.edu/~psand/
Generates Gaussian mixture models for large datasets using efficient EM clustering algorithms. [Free]
- Incremental Decision Tree Induction - http://www.cs.umass.edu/~lrn/iti/index.html
An algorithm that incrementally constructs decision trees from labeled examples. [Free for individual research purposes]
- Weka 3 - Open Source Machine Learning Software in Java - http://www.cs.waikato.ac.nz/~ml/weka/index.html
Suite that implements decision trees and tables, rule learners, Naive Bayes, support vector machines, voted perceptrons, multi-layer perceptron. Meta schemes include bagging, stacking, and boosting. [Free under GPL]
- The NEITHER Theory Revision System - http://www.cs.utexas.edu/users/ml/neither.html
A propositional theory refinement system that will modify a incomplete or incorrect rule base so as to make it consistent with a set of input training examples. [Free]
- LNKnet Pattern Classification Software - http://www.ll.mit.edu/IST/lnknet/index.html
A software package developed at MIT Lincoln Laboratory which integrates more than 20 neural network, statistical, and machine learning classification, clustering, and feature selection algorithms into a modular software package. [Public domain license]
- PRODIGY System - http://www.cs.cmu.edu/afs/cs.cmu.edu/project/prodigy/Web/prodigy-home.html
An architecture for planning and learning. [Free]
- HMMER - http://hmmer.wustl.edu/
Sean Eddy's lab, present profile hidden Markov models for biological sequence analysis, a tool used to build HMMs from multiple alignments, and calculate e-scores.
- Machine Learning Packages from the CMU Artificial Intelligence Repository - http://www.cs.cmu.edu/afs/cs/project/ai-repository/ai/areas/learning/systems/0.html
Links to FTP repositories including ACCEL, CLASSWEB, FOCL, FOIL, GOLEM, INDEX, MILES, MOBAL, OC1, Occamn, PEBLS, RWM.
- The CHILL Empirical Parser Acquisition System - http://www.cs.utexas.edu/users/ml/chill.html
A general approach to the problem of inducing natural language parsers. It uses an annotated corpus, and produces a parser by using ILP for inducing the rules that control the actions of a shift-reduce parser. [Free]
- Meta-MEME v2.0.1 - http://metameme.sdsc.edu/
Software toolkit for building and using motif-based hidden Markov models of DNA and proteins - from the Univ. of California-San Diego.
- SUBDUE Knowledge Discovery in Structural Databases - http://cygnus.uta.edu/subdue/
The program discovers interesting and repetitive subgraphs in a labeled graph representation using the minimum description length principle. Applications to molecular biology. [Free]
- HMM and other statistical programs - http://www.cfar.umd.edu/~kanungo/software/software.html
On this page an imlementation of Hidden Markov Models and an application to part-of-speech tagging. Also available a multivariate hypothesis testing software for Gaussian Data and TRUEVIZ: A groundtruth/metadata Editing and Visualizing Toolkit for OCR.
- Pfam - http://pfam.wustl.edu/
A large collection of multiple sequence alignments and trained hidden Markov models covering many common protein domains.
- Sequence Alignment and Modeling System (SAM) - http://www.cse.ucsc.edu/research/compbio/sam.html
A collection of tools for creating and using HMMs for biological sequences. Free license for academic and nonprofit usages.
- MIX - http://icarus.math.mcmaster.ca/peter/mix/mix.html
Software for learning Mixture Distributions. Commercial license.
- Machine Learning Programs by Peter Clark - http://www.cs.utexas.edu/users/pclark/software.html
QM: Guiding inductive learning with a Qualitative Model. LPE: Lazy Partial Evaluation. CN2: Rule induction from examples. [Free]
- Statistical Decision Trees - http://www.isip.msstate.edu/projects/speech/software/legacy/decision_tree/index.html
A program for inducing Bayesian decision trees. Applications to speech. [Free]
- Observable Operator Modeling Kit - http://omk.sourceforge.net
Machine learning library for Observable Operator Models (OOMs) suitable for time-series and sequence data classification and prediction. OOMs are similar but more powerful than HMMs. [C++, BSD license]
- GNU Hidden Markov Model Library - http://sourceforge.net/projects/ghmm
Hidden Markov Models software library from the Center of Applied Informatics, Cologne. Includes algorithms such as Viterbi, Baum-Welch, and Forward-Backward. [C, GPL license]
- Bayes++ - http://bayesclasses.sourceforge.net
A library of C++ classes for Bayesian filtering. From the Australian Centre for Field Robotics. [C++, MIT license]
- XELOPES Data Mining Library - http://www.prudsys.com/Produkte/Algorithmen/Xelopes
Platform- and data-source-independent library for embedded data mining based on the CWM/OMG and other data mining standards. XELOPES-Java algorithms: SVMs, market basket analysis, sequence analysis, decision trees, cluster analysis, multidimensional grouping. XELOPES-C++ algorithms: SVMs, decision trees. [GPL]
- Experience-Based Language Acquisition - http://sourceforge.net/projects/ebla
Computational model of human language acquisition written in Java; currently acquires a protolanguage of nouns and verbs language based on visual perception
- N-gram Statistics Package (NSP) - http://www.d.umn.edu/~tpederse/nsp.html
Suite of Perl tools for counting and analyzing word n-grams in text; provides standard tests of association for identifying word n-grams in large corpora and allows users to implement other tests with minimal Perl knowledge.
- Pattern Recognition Application Programmer's Interface (PRAPI) - http://www.ee.oulu.fi/~topiolli/?section=cpplibs
A C++ library for many pattern recognition tasks; main focus is on image analysis, but a general architecture and XML-based data interchange format allows it to be used for many other tasks as well.
- EM algorithm for Mixture models - http://www.neurosci.aist.go.jp/~akaho/MixtureEM.html
Shotaro Akaho's implementation of EM algorithm for modeling Mixtures of Gaussians (Java, free). An extended version is available from the author.
- Tilburg Memory Based Learner (TIMBL) - http://ilk.uvt.nl/software.html
A program implementing several memory-based learning techniques. These learners store representation of the training set explicitly, and classifies new cases by extrapolation from the most similar stored cases. Free for educational or non-commercial research purposes.
- Bayesian Essay Test Scoring System (BETSY) - http://edres.org/betsy
A freeware windows-based program that classifies text based on trained material. Designed for automated essay scoring, BETSY can be applied to any text classification task.
- An AI Learning System - http://www.geocities.com/ainew.geo/
A description of an AI system, with a demonstration program and Delphi sourcecode.
- C4.5 and FOIL - http://www.rulequest.com/Personal/
Home page of R. Quinlan. FTP links to FOIL (inductive logic programming) and C4.5 (learning decision trees).
- TRON - http://dendrite.cs.brandeis.edu/tron/
A learning computer player for the light cycles game in Tron
- Classification Toolbox for MATLAB - http://www.yom-tov.info
A site by Elad Yom-Tov, co-author of the toolbox, that contains additions and updates to the toolbox, as well as a discussion board
- SNoW - http://l2r.cs.uiuc.edu/~danr/snow.html
A learning architecture specifically taylored for learning in very high-dimensional feature spaces. The current release uses sparse variations of Winnow, Perceptron, and Naive Bayes. Free for personal academic and research purposes.
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