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Monkiefarm: A Genetic Algorithm Library
This toolset uses an easily extensible genetic graph bipartitioning algorithm to run over an NP hard problem. It encompasses multi-layer perceptron implementations, written in C++. [GPL]
Bayes++: Open Source Bayesian Filtering Classes
A library of C++ classes for Bayesian Filtering of discrete systems. [MIT]
SAM: Sequence Alignment and Modeling
A collection of tools for creating and using HMMs for biological sequences. [AFL]
Bayes Net Toolbox for Matlab
Supports several inference algorithms and learning algorithms. Allows simulation of static and dynamic networks, including HMMs, IOHMMs, and Kalman filters. [GPL]
Nonparametric Classification with Polynomial MPMC Cascades
Scalable non-parametric classification with Polynomial MPMC Cascades for use in Matlab. [GPL]
(H)HMM Library and Designer
This library allows probabilistic sequence models to be constructed through use of Hidden Markov models (HMMs) and Hierarchical Markov models HMMs (HHMMs) in Ocaml programming language. [GPL]
SUBDUE: Graph Based Knowledge Discovery
A program which discovers interesting and repetitive subgraphs in labeled graph representations using the minimum description length principle. Includes applications to molecular biology. [Free]
Probabilistic Networks Library (PNL), and Open Source Machine Learning Library (OpenML) by Intel
Open source library of tools for building machine learning software based on Bayesian mathematical principles. Links on lower left of page article. [GPL]
BETSY: A Bayesian Essay Test Scoring System
A windows-based program that classifies text based on trained material. Designed for automated essay scoring, BETSY can be applied to any text classification task. [GPL]
HMMER: Biosequence Analysis
A tool used to build HMMs from multiple alignments and calculate e-scores. [GPL]
Maximum Entropy Modeling Toolkit
A library of tools for constructing maximum entropy (maxent) model in either python or C++. Some program features are L-BFGS and GIS parameter estimation, and gaussian prior smoothing. [GPL]
FTP Repository Site List for Cognitive and Machine Learning
Anonymous sites from popular colleges and universities. To access other pages just replace the 6 in URL with numbers 1-23. [Free]
The AutoClass Project
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]
MIX: Software for Mixture Distributions
Software for learning mixture distributions. Examples and two case studies are included. [Commercial]
TIMBL: Tilburg Memory Based Learner
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. [AFL]
SNoW: Sparse Network of Winnows
A learning architecture specifically tailored for learning in very high-dimensional feature spaces. The current release uses sparse variations of Winnow, Perceptron, and Naive Bayes. [AFL]
GAlib: Matthew's Genetic Algorithms Library
A toolset of genetic algorithm objects for C++ to perform optimization. Uses any representation and genetic operators. The documentation contains implementation and examples. Nice screenshots. PVM for distributed, parallel implementations. Includes graphic examples that use the Athena, Motif widget sets, or MFC. [BSD]
libbpfl - A Bayesian Probability Filtering Library
A general purpose library for Bayesian filtering written in C++. [LGPL]
MALLET: Advanced Machine Learning for Language
An integrated collection of Java code useful for statistical natural language processing, document classification, clustering, information extraction, and other machine learning applications to text. [GPL]
MEME/MAST: Motif Discovery and Search
A software package to discover motifs (highly conserved regions) in groups of related DNA or protein sequences and, search sequence databases using motifs. [Commercial]
Meta-MEME: Motif-based Hidden markov Modeling of Biological Sequences
Software toolkit for building and using motif-based hidden Markov models of DNA and proteins. There is an online interactive version. Source written in C. [GPL]
GRIDLOCK: A Scalable Approach to Unifying Computer and Communications Security
A globally specified and locally interpreted policy language based software for specification of network access control policy. [GPL]
The Observable Operator Modeling Kit
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. Written in C++ [BSD]
Pfam: Database of Protein Families and HMMs
A large collection of multiple sequence alignments and trained hidden Markov models covering many common protein domains. Alignments are included as well as models for 8296 protein families, based on the Swissprot 48.9 and SP-TrEMBL 31.9 protein sequence databases. [GPL]
HRE API: A Portable Handwriting Recognition Engine
This engine is a functionally complete interface for handwriting recognition. API was written in ANSI C and has minimal reliance on the Windows system. There is a version ported to Linux. [GPL]
YaLE: Yet another Learning Environment
The YALE toolset is an environment for machine learning through use of nested operators. Multiple experiments can be arbitrarily nested together through use of a graphical XML based user interface. [GPL]
WinMine Toolkit
A set of tools for Windows 2000/NT/XP that allow you to build statistical models from data. [Free]
Machine Learning Repository
Machine language tools including inductive systems (i.e. ILP and others), and other ML related links.
KEEL: Knowledge Extraction based on Evolutionary Learning
The aim of this project is to develop a Computational Environment for integrating the design and use of knowledge extraction models from data using evolutionary algorithms. Genetic learning may also be applied to the model. [GPL]
SenseClusters
Programs to cluster similar contexts together using unsupervised knowledge-lean methods for word sense discrimination, email categorization, and name discrimination. Written in Perl. [GNU]
Experience-based Language Acquisition
Computational model of human language acquisition written in Java; currently acquires a protolanguage of nouns and verbs language based on visual perception. [BSD]
General Hidden Markov Model Library
Hidden Markov Models software library from the Center of Applied Informatics, Cologne. Includes algorithms such as Viterbi, Baum-Welch, and Forward-Backward. [GPL]
What If: Web-based Scientific Discovery
An algorithm engine which will calculate everything from symmetry, torsion angles, polar fraction through protein analysis and bond angles. Online version only. [Free]
VIBES: Variational Inference for Bayesian Networks
A software package which allows variance-modeled posterior inference to be performed automatically on a Bayesian network. [GPL]
Nieme
A machine learning library for classification, regression and ranking. It implements several well-known algorithms and is specially designed for large-scale applications.
Software Packages for Graphical Models/Bayesian Networks
Tools for modeling graphs and Bayesian networks. Scroll down. [AFL], [Commercial]
ELIE: An Adaptive Information Extraction System
A tool for adaptive information extraction from text. Also included are a number of other text processing tools for POS tagging, chunking, gazetteer, and stemming. [GPL]
ORANGE: Inter-active Machine Learning Data Mining components
A component based framework for data input/output, preprocessing, predictive modelling, ensemble methods, and modelling validation. [GPL]
LingPipe: Natural Language Processor (NLP)
A suite of Java libraries for the linguistic analysis of human language which can link entity mentions to database entries, uncover relations, cluster documents, and discover significant trends. [GPL]
Data Access Tools from the US Census Bureau
General purpose data display and extraction tools that works with Census Bureau data. Census data available for pickup through census bureau employees only. [Free]
Self-Taught: Software That Learns By Doing
Short article on self-modifying software touching on co-training, partial-programming, and genetic programming (GP) methods of problem solving. [FREE]
BNet EngineKit
A developer toolkit for researchers and engineers to embed belief networks in software applications. Nice online demo. [Commercial]
PRODIGY: An Architecture for Planning and Learning
A system of research planning and learning utilizing explanation-based learning, partial evaluation, experimentation, graphical knowledge acquisition, automatic abstraction, mixed-initiative planning, and case-based reasoning. [Free]
Machine Learning Software Packages
FTP software repository of machine learning programs from Carnegie Mellon University School of Computer Science. There are also links to other repositories. [GPL]
Bow: A Toolkit for Statistical Language Modeling, Text Retrieval, Classification and Clustering
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). [LGPL]
FastMix
Generates Gaussian mixture models for large datasets using efficient KD-clustering algorithms. [Free]
Pattern Matching Pointers
Using algorithms to address issues of searching and matching strings and more complicated patterns such as trees, regular expressions, graphs, point sets, and arrays. [GPL]
ITI: Incremental Tree Inducer
An algorithm that incrementally constructs decision trees from labeled examples. [AFL]
CHILL: Constructive Heuristics Induction for Language Learning
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]
NEITHER: A Propositional Theory Refinement
A system to modify an incomplete or incorrect rule base to make it consistent with a set of input training examples. Written in C++ [Free]
Machine Learning Programs by Peter Clark
A collection of downloadable packages including: KM - The Knowledge Machine, Guiding Inductive Learning with a Qualitative Model, LPE - Lazy Partial Evaluation, and CN2 - Rule induction from examples. [GPL]
Machine Learning Research Software in LISP
FTP repository of common list algorithms and datasets for research. [GPL]
Weka 3: Data Mining Software
A collection of tools that implement decision trees and tables, rule learners, Naive Bayes, support vector machines, voted perceptrons, multi-layer perceptron. Meta schemes include bagging, stacking, and boosting. Written in Java. [GPL]
Sorting Algorithms for Machine Learning
Various sorting algorithms including insertion, quick, merge, heap, Dutch National Flag, and radix with on-line demos. [Free]
NSP: N-gram Statistics Package
Software for counting and analyzing word n-grams in text. This package provides standard tests of association for identifying word n-grams in large corpora and allows users to implement other tests with minimal scripting knowledge. Written in Perl. [GPL]
PRAPI: Pattern Recognition Application Programmer's Interface
A library for many pattern recognition tasks. The main focus of this package is on image analysis but utilizes a general architecture and XML-based data interchange format. Written in C++ [GPL]
UCI Machine Learning
A repository of databases, domain theories and data generators that are used by the machine learning community for the empirical analysis of machine learning algorithms at the University of California at Irvine. [Free]
Software Packages and Toolboxes
Online software repository of the Department of Computer Science at The University of Pittsburg. Everything from expert systems, finite-state machines, graphical models, linear programming, and machine learning through turning machines is covered here and all downloadable. Multiple platforms. [Free]
HMM and other statistical programs
This tool implements Hidden Markov Models and application to part-of-speech tagging. Also available; a multivariate hypothesis testing software for gaussian data, and a groundtruth/metadata editing and visualizing toolkit for OCR. [GPL]
Spider: General Purpose Machine Learning Toolbox in Matlab
An object orientated environment for machine learning in Matlab. Algorithms can be plugged together and can be compared with (e.g. model selection, statistical tests and visual plots). Algorithms may be downloaded separately. [GPL]
Machine Learning and Inference Laboratory
Downloadable group of programs comprising the EMERALD machine learning system, (Experimental Machine Example-based Reasoning and Learning Disciple) integrates five modules (e.g. or 'robots'), each displaying a capability for machine learning, visualization, and interence. [LGPL]
WinBUGS: The BUGS Project
A stand-alone program to allow practical MCMC methods available to applied statisticians. Either a point and click interface can be used to control the analysis or a graphical interface can be constructed. The BUGs project also includes links to GeoBUGS for spatial analysis, PKBUGS for pharmacokinetic modelling, and OpenBUGS for latest developments. [GPL]
The PNC2 Rule Induction System
Windows software tool that induces rules from your data using the PNC2 cluster algorithm. An integrated parameter-tuning component allows easy adjustment of the algorithms behavior to the given problem without requiring any further knowledge. [GPL]
Fully Complex Machine Learning Algorithm: ELM
Treatise on a newly discovered algorithm for feedforward neural network, ELM. Complete performance evaluation along with discussions in PDF format. [Free]
OpenCyc
Open source version of the Cyc technology, the world's largest and most complete general knowledge base and commonsense reasoning engine. Can be used as the basis of a wide variety of intelligent applications including; rapid development of an ontology in a vertical area, email prioritizing, routing, summarization, and annotating, expert systems, game engine development. [GPL]
ArrayMiner - ClassMarker
Programmatically isolate similarities between scattered classes of genes. Expression driven. Utilizes a voting method along with a k-Nearest-Neighbors classification. Very rich graphical interface. Samples of an unknown class are possible given enough data. Fully functional demo. [Commercial]
New Scientific Brainstorming Software for Inventors -- Windows, Mac and Linux
A software developed to help your team brainstorm. Words are replaced programmatically in user's idea sentence with new words from program categories perhaps creating ideas not formerly thought of. Includes word categories. [Commercial]
C4.5 and FOIL
The home page of R. Quinlan with FTP links to FOIL (inductive logic programming) and C4.5 (learning decision trees). [LGPL]
Tree Visualizer
Software which allows one to navigate (fly) through the data tree, zoom in on interesting nodes, click on bars to get counts, and mark interesting places in the tree. Includes datasets for automobiles, voting, produce, and medical research. Uses LEDA, ([AFL] licensed only). [GPL]
BayesBuilder: Bayesian network construction tool
This tool supports discrete gaussians and efficient noisy-OR nodes necessary in large networks. Node search, undo/redo, and automatic network layout are also supported. Written in C++ with a Java front end. [GPL]
The Torch Machine Learning Library
This package forms a complete gradient descent machine learning library. Modules support vector machines in classification and regression, ensemble models such as bagging or adaboost, non-parametric models such as K-nearest neighbors, Parzen regression, and Parzen density estimation. Includes speech recognition tools. Written in C++ [BSD]
WebMO
Web-based interface to computational chemistry. Has support for Gaussian 94/98/03, GAMESS, MolPro 2002, MOPAC 7/93/200x, NWChem 4.6+, QChem 2.1+, and Tinker 4.2+. Unix or Linux based. [Free]
Lemga: Learning Models and Generic Algorithms
A library of classes for optimizing (training) the generic models. Written in C++. [GPL]
Classification Toolbox for MATLAB
A complete set of algorithms for classification, clustering, feature selection and reduction for Matlab. [Free]
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