Search Results for "artificial intelligence java source code" - Page 3
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94 projects for "artificial intelligence java source code" with 2 filters applied:
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Deliver and Track Online and Live Training Fast and Easy with Axis LMS!Axis LMS enables you to deliver learning and training everywhere through a flexible and easy-to-use LMS that is designed to enhance your training, automate your workflows, and engage your learners.
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Cloud-Based Software Licensing - Zentitle by Nalpeiron1000’s software companies have used Zentitle to launch new software products fast and control their entitlements easily - many going from startup to IPO on our platform. Our software monetization infrastructure allows you to easily build or
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Aleph is both a multi-platform machine learning framework aimed at simplicity and performance, and a library of selected state-of-the-art algorithms.
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The Free Connectionist Q-learning Java Framework is an library for developing learning systems. Keywords: qlearning, artificial intelligence, alife, neural nets, neural networks, machine learning, reinforcement learning unsupervised learning agents lejos
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An easy to extend, highly graphical, easy to use 2D robot simulator specialized for path planning algorithms. Can be used in testing various robotic algorithms, and already used for comparison of path planning algorithms like RRT, RRTConnect, PRM, RboT..
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Origin is a evolver for the programming game Corewars. Part of this project is a modified MARS (Memory Array Redcode Simulator) written in C especialy for evolvers. With SWIG its going to be very easy to use in different languages.
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Fax.Cloud delivers encrypted, point-to-point faxing with guaranteed delivery and built-in audit trailsUnlike email or file-sharing tools, Fax.Cloud doesn’t bounce around the internet, exposed and vulnerable. It’s direct, encrypted, and verified. You get delivery confirmation, audit trails, and peace of mind, without the spam filters, metadata leaks, or cyber threats.
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The Gene Expression Programming Framework in Java. It separates the process of evolution from the process of interpretation of the chromosome, allowing the use of various schemes in the chromosome.
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`ABL' is a basic flexible abstract list library defined using C preprocessor. It allows you to define linked lists of arbitrary types very easily. You also can use it as stacks and queues. You can easily define complicated types like list of lists etc.
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‘intelliworm’ is a prototype simulation of a Intelligent Species of a common earth worm,which inherits human like decision making capabilities through Neural Network intelligence representation,all developed by integrating .NET with Lisp and Yacc.
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A simulation environment for 2D robots to interact and perform tasks in. Meant to be educational and demonstrate emergent behaviors. No download necessary! See demos on project website!
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Powering the next decade of business messaging | Twilio MessagingXBuild unique experiences across SMS, MMS, Facebook Messenger, and WhatsApp – with our unified messaging APIs.
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Taseree has been renamed to Drools Planner and moved to JBoss.org, see http://www.jboss.org/drools/drools-planner
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JNSGA2 is a Java library with an implementation of the multi-objective genetic algorithm NSGA-II published by Deb et al.
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JCortex is a complete solution that allows software developers create, educate and use Artificial Neural Networks in Java projects. Splits in two elements: JCortex Framework, an ANN Java framework; and JCortexBuilder, its graphic development environment.
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This project provides some hyperheuristics, implemented as C libraries. A hyperheuristic can be used to handle any optimization problem, as long as you implement some simple specific code to interact with it. Some examples/applications are also provided.
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The Distributed Genetic Programming Framework is a scalable Java genetic programming environment. It comes with an optional specialization for evolving assembler-syntax algorithms. The evolution can be performed in parallel in any computer network.
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Conrad is both a high performance Conditional Random Field engine which can be applied to a variety of machine learning problems and a specific set of models for gene prediction using semi-Markov CRFs.
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SimMetrics is a Similarity Metric Library, e.g. from edit distance's (Levenshtein, Gotoh, Jaro etc) to other metrics, (e.g Soundex, Chapman). Work provided by UK Sheffield University funded by (AKT) an IRC sponsored by EPSRC, grant number GR/N15764/01.
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KNN-WEKA provides a implementation of the K-nearest neighbour algorithm for Weka. Weka is a collection of machine learning algorithms for data mining tasks. For more information on Weka, see http://www.cs.waikato.ac.nz/ml/weka/.
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This project intends to create an indexing search engine, for knowledge management. The primary object is to apply an information retrieval core. And implement a knowledge data discovery theory such as data mining algorithm, text mining.
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A Java API for using suffix trees with natural language and an Eclipse/SWT-based GUI for suffix tree visualization using Graphviz.
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A Java implementation of the NEAT algorithm as created by Kenneth O Stanley. Also provides a toolkit for further experiments to be created and can provide both local and distributed learning environments.
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SenseRank Sys: - builds the dictionaries (multidim matrices) of words’ values; - for the set utterance in certain language builds a figure in multidimensional space (in the matrix space) of values (visual schema), which is topological view of sense
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The K.U.Leuven JCHR System is an integration of Constraint Handling Rules (CHR) and Java designed with three aims in mind: user-friendliness, flexibility and efficiency. http://www.cs.kuleuven.be/~petervw/JCHR/
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musicomp is a program which most important element is an evolutionary algorithm which uses data mining methods as a fitness function to generate monophone melodies.
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JMill is the java-based game of "Nine Men's Morris". This project is son of the greater parent SourceForge project "JGames", that realizes the real game environment...
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MAIF is developed in Java 5 (especially Generics) and aims at building AI algorithms, by concentrating onto the mapping of real-world problems, while abstracting from their inner working. It can be extended with new algorithms and problem representations.
