Software Machine Learning Artificial Intelligence

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)

• General Hidden Markov Model Library - Hidden Markov Models software library from the Center of Applied software Informatics, Cologne. Includes algorithms such as Viterbi, Baum-Welch, and software Forward-Backward. [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]
• OpenCyc - Open source version of the Cyc technology, the world\\'s largest machine learning and most complete general knowledge base and commonsense reasoning engine. machine learning Can be used as the basis of a wide variety machine learning of intelligent applications including; rapid development of an machine learning ontology
• 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]
• 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]
• HRE API: A Portable Handwriting Recognition Engine - This engine is a functionally complete interface for machine learning handwriting machine learning recognition. API was written in ANSI machine learning C and machine learning has minimal reliance on the Windows machine learning system. There machine learning is a version ported to machine learning Linux. [GPL]
• LingPipe: Natural Language Processor (NLP) - A suite of Java libraries for the linguistic machine learning analysis software of human language which can link entity machine learning mentions to software database entries, uncover relations, cluster documents, machine learning and discover significant software trends. [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]
• Sorting Algorithms for Machine Learning - Various sorting algorithms including insertion, quick, merge, heap, machine learning Dutch machine learning National Flag, and radix with on-line demos. machine learning [Free]
• HMM: Pattern search and discovery - A collection of tools for creating and using machine learning HMMs software for biological sequences. [AFL]
• 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]
• SenseClusters - Programs to cluster similar contexts together using unsupervised machine learning knowledge-lean artificial intelligence methods for word sense discrimination, email machine learning categorization, and artificial intelligence name discrimination. Written in Perl. machine learning [GNU]
• AliceBOT - The famous free software BOT developed in promotion machine learning of AIML (Artificial Intelligence Markup Language). [FREE]
• Intelligent Software Agent Projects at Sourceforge.net - A large collection of Intelligent Agent projects complete with sourcecode. artificial intelligence [GPL]
• GAlib: Matthew's Genetic Algorithms Library - A toolset of genetic algorithm objects for C++ artificial intelligence to perform optimization. Uses any artificial intelligence representation and genetic operators. The documentation contains artificial intelligence implementation and examples. Nice screenshots. artificial intelligence PVM for distributed, parallel implementations. Includ
• The Observable Operator Modeling Kit - Machine learning library for \\'observable operator models\\' (OOMs) machine learning suitable for time-series and sequence data classification and machine learning prediction. OOMs are similar but more powerful than machine learning HMMs. Written in C++ [BSD]
• 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]
• Machine Learning Repository - Machine language tools including inductive systems (i.e. software ILP and artificial intelligence others), and other ML related links.
• GRIDLOCK: A Scalable Approach to Unifying Computer and Communications Security - A globally specified and locally interpreted policy machine learning language based software for specification of network machine learning access control policy. [GPL]
• JProGraM -- PRObabilistic GRAphical Models in Java - JProGraM is a machine learning library which supports learning and inference algorithms for Bayesian networks, Markov random fields, hybrid random fields, probabilistic decision trees, dependency networks, and Parzen windows. [GPL]
• SUrrogate MOdeling (SUMO) Toolbox - A Matlab toolbox that automatically builds surrogate models artificial intelligence of machine learning a given data source within the accuracy artificial intelligence and time machine learning constraints set by the user. artificial intelligence Some key features machine learning are the inclusion of scalable artificial intelligence regression models, knowledge machine learning discovery, best-in-class modelling
• MIX: Software for Mixture Distributions - Software for learning mixture distributions. Examples and two case artificial intelligence studies are included. [Commercial]
• BETSY: A Bayesian Essay Test Scoring System - A windows-based program that classifies text based on machine learning trained artificial intelligence material. Designed for automated essay scoring, machine learning BETSY can artificial intelligence be applied to any text classification machine learning task. [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][PDF]
• libbpfl - A Bayesian Probability Filtering Library - A general purpose library for Bayesian filtering written in C++. [LGPL]
• C4.5 and FOIL - The home page of R. Quinlan with FTP software links to FOIL (inductive logic programming) and C4.5 software (learning decision trees). [LGPL]
• Bow: A Toolkit for Statistical Language Modeling, Text Retrieval, Classification and Clustering - A library of C code useful for writing statistical text machine learning analysis, language modeling, and information retrieval programs. The current distribution machine learning includes the library, as well as front-ends for document classification machine learning (rainbow), document retrieval (arrow)
• Bayes Net Toolbox for Matlab - Supports several inference algorithms and learning algorithms. Allows software simulation of static and dynamic networks, including HMMs, software IOHMMs, and Kalman filters. [GPL]
• BNet EngineKit - A developer toolkit for researchers and engineers to artificial intelligence embed belief networks in software applications. Nice artificial intelligence online demo. [Commercial]
• NEITHER: A Propositional Theory Refinement - A system to modify an incomplete or incorrect machine learning rule base to make it consistent with a machine learning set of input training examples. Written in machine learning C++ [Free]
• Weka 3: Data Mining Software - A collection of tools that implement decision trees artificial intelligence and software tables, rule learners, Naive Bayes, support vector artificial intelligence machines, voted software perceptrons, multi-layer perceptron. Meta schemes include artificial intelligence bagging, stacking, and software boosting. Written in Java. artificial intelligence [GPL]
• ITI: Incremental Tree Inducer - An algorithm that incrementally constructs decision trees from machine learning labeled machine learning examples. [AFL]
• WebMO - Web-based interface to computational chemistry. Has support for Gaussian 94/98/03, artificial intelligence GAMESS, MolPro 2002, MOPAC 7/93/200x, NWChem 4.6+, QChem 2.1+, and artificial intelligence Tinker 4.2+. Unix or Linux based. [Free]
• Lemga: Learning Models and Generic Algorithms - A library of classes for optimizing (training) the artificial intelligence generic artificial intelligence models. Written in C++. [GPL]
• The Lisa Project - A production rule based system implemented in a Common Lisp machine learning Object System (CLOS) for the development of Lisp based machine learning intelligent software agents. [LGPL]
• Rapid Miner - The Rapid Miner toolset is an environment for machine learning machine artificial intelligence learning through use of nested operators. machine learning Multiple experiments artificial intelligence can be arbitrarily nested together through machine learning use of a artificial intelligence graphical XML based user interface. machine learning (Formerly YALE) artificial intelligence [GPL]
• Software Packages for Graphical Models/Bayesian Networks - Tools for modeling graphs and Bayesian networks. Scroll artificial intelligence down. machine learning [AFL], [Commercial]
• Classification Toolbox for MATLAB - A complete set of algorithms for classification, clustering, feature selection and reduction for Matlab. [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]
• Markov TheBeast - A Markov Logic Interpreter that focuses on efficient machine learning MAP software inference and Online Learning featuring MAP inference machine learning using Cutting software Planes combined with Max-Walk-Sat programming, parametrized machine learning weights, a shell software interpreter, and cardinality constraints. machine learning [GPL]
• MALLET: Advanced Machine Learning for Language - An integrated collection of Java code useful for statistical natural machine learning language processing, document classification, clustering, information extraction, and other machine machine learning learning applications to text. [GPL]
• ArrayMiner - ClassMarker - Programmatically isolate similarities between scattered classes of genes. software Expression driven. Utilizes a voting method software along with a k-Nearest-Neighbors classification. Very rich software graphical interface. Samples of an unknown class are software possible given enough
• PRODIGY: An Architecture for Planning and Learning - A system of research planning and learning utilizing explanation-based learning, machine learning partial evaluation, experimentation, graphical knowledge acquisition, automatic abstraction, mixed-initiative planning, machine learning and case-based reasoning. [Free]
• FTP Repository Site List for Cognitive and Machine Learning - Anonymous sites from popular colleges and universities. To access artificial intelligence other pages just replace the 6 in URL with numbers artificial intelligence 1-23. [Free]
• HMMER: Biosequence Analysis - A tool used to build HMMs from multiple artificial intelligence alignments and calculate e-scores. [GPL]
• Bayes++: Open Source Bayesian Filtering Classes - A library of C++ classes for Bayesian Filtering of discrete artificial intelligence systems. [MIT]
• NSP: N-gram Statistics Package - Software for counting and analyzing word n-grams in text. machine learning This package provides standard tests of association for identifying word machine learning n-grams in large corpora and allows users to implement other machine learning tests with minimal scripting knowledge. Written in Perl. machine learning [GP
• UMDHMM and other statistical programs - This tool implements Hidden Markov Models and application to part-of-speech machine learning tagging. Also available; a multivariate hypothesis testing software for gaussian machine learning data, and a groundtruth/metadata editing and visualizing toolkit for machine learning OCR. [GPL]
• Data Access Tools from the US Census Bureau - General purpose data display and extraction tools that works with machine learning Census Bureau data. Census data available for pickup through machine learning census bureau employees only. [Free]
• Machine Learning Software Packages - Various classes, packages, macros and other software systems related to machine learning machine learning. [GPL]
• The Torch Machine Learning Library - This package forms a complete gradient descent machine machine learning learning machine learning library. Modules support vector machines in machine learning classification and machine learning regression, ensemble models such as bagging machine learning or adaboost, non-parametric machine learning models such as K-nearest neighbors, machine learning Parzen regression,
• WinBUGS: The BUGS Project - A stand-alone program to allow practical MCMC methods available to software applied statisticians. Either a point and click interface can software be used to control the analysis or a graphical interface software can be constructed. The BUGs project also includes software links to GeoBUG
• 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]
• Self-Taught: Software That Learns By Doing - Short article on self-modifying software touching on co-training, partial-programming, and machine learning genetic programming (GP) methods of problem solving. [FREE]
• TIMBL: Tilburg Memory Based Learner - A program implementing several memory-based learning techniques. These learners store software representation of the training set explicitly, and classifies new cases software by extrapolation from the most similar stored cases. [AFL]
• VIBES: Variational Inference for Bayesian Networks - A software package which allows variance-modeled posterior inference artificial intelligence to be performed automatically on a Bayesian network. artificial intelligence [GPL]
• CHILL: Constructive Heuristics Induction for Language Learning - A general approach to the problem of inducing artificial intelligence natural language parsers. It uses an annotated corpus, artificial intelligence and produces a parser by using ILP for artificial intelligence inducing the rules that control the actions of artificial intelligence a shift-reduce parser. [Free]
• Tree Visualizer - Software which allows one to navigate (fly) through artificial intelligence the data tree, zoom in on interesting nodes, artificial intelligence click on bars to get counts, and mark artificial intelligence interesting places in the tree. Includes datasets artificial intelligence for automobiles, voting, produce, and medical research. artificial intelligence Uses LEDA, (
• Nieme: Classification, Regression, Ranking and Reinforcement Learning - A machine learning library for classification, regression, ranking and reinforcement machine learning learning. It implements several well-known algorithms and is specially designed machine learning for large-scale applications. [GPL]
• KEEL: Knowledge Extraction based on Evolutionary Learning - The aim of this project is to develop software a Computational software Environment for integrating the design and software use of knowledge extraction software models from data using software evolutionary algorithms. Genetic learning may software also be software applied to the model. [GPL]
• Machine Learning Research Software in LISP - FTP repository of common list algorithms and datasets for research. machine learning [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, visualiza
• Maximum Entropy Modeling Toolkit - A library of tools for constructing maximum entropy machine learning (maxent) software model in either python or C++. machine learning Some program software features are L-BFGS and GIS parameter machine learning estimation, and gaussian software prior smoothing. [GPL]
• Genetic Algorithm Projects at SourceForge.net - A large collection of algorithm projects with complete sourcecode. artificial intelligence [GPL]
• SUBDUE: Graph Based Knowledge Discovery - A program which discovers interesting and repetitive subgraphs machine learning in artificial intelligence labeled graph representations using the minimum description machine learning length principle. artificial intelligence Includes applications to molecular biology. machine learning [Free]
• Pfam: Database of Protein Families and HMMs - A large collection of multiple sequence alignments and trained hidden artificial intelligence Markov models covering many common protein domains. Alignments are artificial intelligence included as well as models for 8296 protein families, based artificial intelligence on the Swissprot 48.9 and SP-TrEMBL 31.9 protein sequence
• ORANGE: Inter-active Machine Learning Data Mining components - A component based framework for data input/output, preprocessing, artificial intelligence predictive modelling, ensemble methods, and modelling validation. artificial intelligence [GPL]
• The Leibniz Software System - A formal system for constructing artificial intelligent software software agents artificial intelligence from the book, \\'Design of Logic-based software Intelligent Systems\\' covering artificial intelligence such topics as production software rules, neural nets, support vector machines, artificial intelligence fuzzy logic, software and Bayesian networks. Lic
• Machine Learning and Data Mining Software - Index of software links for computer learning software. machine learning software Scroll down. [FREE]
• SNoW: Sparse Network of Winnows - A learning architecture specifically tailored for learning in very high-dimensional machine learning feature spaces. The current release uses sparse variations of machine learning Winnow, Perceptron, and Naive Bayes. [AFL]
• WinMine Toolkit - A set of tools for Windows 2000/NT/XP that allow you to build statistical models from data. [Free]
• 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 machine learning Markov software models of DNA and proteins. There machine learning is an software online interactive version. Source written machine learning in C. software [GPL]
• Experience-based Language Acquisition - Computational model of human language acquisition written in software Java; currently machine learning acquires a protolanguage of nouns and software verbs language based on machine learning visual perception. [BSD]
• LibML - A machine learning library. New implementations of various machine learning artificial intelligence algorithms. [GPL]
• Nonparametric Classification with Polynomial MPMC Cascades - Scalable non-parametric classification with Polynomial MPMC Cascades for artificial intelligence use in Matlab. [GPL]
• The PNC2 Rule Induction System - Windows software tool that induces rules from your artificial intelligence data using the PNC2 cluster algorithm. An artificial intelligence integrated parameter-tuning component allows easy adjustment of the artificial intelligence algorithms behavior to the given problem without requiring artificial intelligence any further knowledge. [GPL]
• FastMix - Generates Gaussian mixture models for large datasets using artificial intelligence efficient artificial intelligence KD-clustering algorithms. [Free]
• PRAPI: Pattern Recognition Application Programmer's Interface - A library for many pattern recognition tasks. software The main artificial intelligence focus of this package is on software image analysis but utilizes artificial intelligence a general architecture and software XML-based data interchange format. Written artificial intelligence in C++ software [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]
• aiParts - C++ classes for multi-decision problems implimenying the High-Hope machine learning technique software with sample programs. [MIT]

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