Search Results for "artificial intelligence algorithm" - Page 21
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Showing 1084 open source projects for "artificial intelligence algorithm"
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PyVision Computer Vision Toolkit
A Python computer vision library
PyVision is a object-oriented Computer Vision Toolkit for researchers that contains vision and machine learning algorithms and algorithm analysis and easily interfaces with scipy/numpy, PIL, opencv and other computer and machine learning libraries. -
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CHP: C# HTN-Planner
A simple HTN-planner written in C#
C# HTN-Planner (CHP), a simple HTN-Planner written in C#. A domain-independent automated planning system based on ordered task decomposition, similar to SHOP2. It includes a Microsoft Visual Studio project (CHP) and a Unity3D project (CUHP), both with some examples. It is inspired by Dana Nau's Pyhop implementation and the book Automated Planning: Theory and Practice by Malik Ghallab et al. -
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EASEA (EAsy Specification of Evolutionary Algorithms: pronounce "easy") is a high-level language dedicated to the specification of evolutionary algorithms. EASEA up to version 0.7 compiles .ez specification files into C++ or JAVA object files.
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TextBlob
TextBlob is a Python library for processing textual data
Simple, Pythonic, text processing, Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more. It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more. TextBlob stands on the giant shoulders of NLTK and pattern, and plays nicely with both. Supports word inflection (pluralization and singularization) and lemmatization,... -
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CLAW is a C++ Library providing various tools in different domains, like a Tweener framework, Bézier curves manipulation, a map with multiple value types, a binary search tree container implemented as an AVL and an implementation of the sockets as std::stream. The library also includes a set of classes to easily load and write png, jpeg, gif files and other image formats. Finally, a part of the library is devoted to artificial intelligence in games and includes a generic alpha-beta...
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ontocomp
OntoComP is a Protégé 4 plug-in for completing OWL ontologies
OntoComP is a Protégé 4 plug-in for completing OWL ontologies. It enables the user to check whether an OWL ontology contains "all relevant information" about the application domain, and extends the ontology appropriately if this is not the case. It achieves this by asking the user questions of the form "are instances of classes C1 and C2 also instances of class C3?". If the user confirms such a question, then a new axiom of the application domain that does not follow from the ontology has... -
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A python module that provides algorithms for advanced search - basically all you need to build a search engine.
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Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets. It is easy to use, versatile, well documented, and fast. Bindings to more than 15 programming languages are available. An easy to read...
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neural network designer
a dbms for neural nets. Chatbots, DTrees, random forests, n-grams,...
This project consists out of a windows based designer application and a library (that can run on multiple platforms, including android) together with several demo applications (including an MVC3 chatbot client and an android application). It is probably best compared to a database management system, but for neural networks instead of relational data. As such, the library is optimized for handling any type of data-size by using advanced streaming and caching algorithms. With the designer,... -
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ProximityForest
Efficient Approximate Nearest Neighbors for General Metric Spaces
A proximity forest is a data structure that allows for efficient computation of approximate nearest neighbors of arbitrary data elements in a metric space. See: O'Hara and Draper, "Are You Using the Right Approximate Nearest Neighbor Algorithm?", WACV 2013 (best student paper award). One application of a ProximityForest is given in the following CVPR publication: Stephen O'Hara and Bruce A. Draper, "Scalable Action Recognition with a Subspace Forest," IEEE Conference on Computer Vision... -
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JinnIde is a plugin that allows using Jinni Prolog, now also hosted here on this site (with open source license!), within the confines of an IDE integrated in JEdit.
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Architecture for Virtual Agents with Dynamic Embodiment - A framework for developing virtual environments equipped with virtual agents. Virtual agents are dynamically embodied; they have the ability to deliberatively change the form of their avatar.
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Atan is an interface to the RoboCup Soccer Server for the 2D simulation league. It should allow you to concentrate on the job of controlling your clients without having to worry about the communication syntax with SServer or creating the UDP connections.
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Framework for creation of board games. Chess is built-in, Monopoly comes next. It addresses: 1) Players 2) Game authors 3) AI developers 4) Model-based developers. Developed by software professionals using EMF. New games are configured in few hours.
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Weka4OC GUI for Overlapping clustering
Weka4OC: Weka for Overlapping Clustering is a GUI extending WEKA
This is a GUI application for learning non disjoint groups based on Weka machine learning framework. It offers a variety of learning methods, based on k-means, able to produce overlapping clusters. The application also contains an evaluation framework that calculates several external validation measures. The application offers a visualization tool to discover overlapping groups. -
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JPIE is an implementation of an Open Source Java to Prolog/Prolog to Java interoperability mecanism based on the Java VM.
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ktree
clustering, machine learning, algorithms
This project has moved to github at http://lmwtree.devries.ninja. -
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drvq
dimensionality-recursive vector quantization
drvq is a C++ library implementation of dimensionality-recursive vector quantization, a fast vector quantization method in high-dimensional Euclidean spaces under arbitrary data distributions. It is an approximation of k-means that is practically constant in data size and applies to arbitrarily high dimensions but can only scale to a few thousands of centroids. As a by-product of training, a tree structure performs either exact or approximate quantization on trained centroids, the latter... -
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rodneyspr
Re-imagining of Heisermann's classic Self-Programming Robot
This project comprises two main parts: 1. The classic "Rodney" as described in David L. Heisermann's book "How to build your own self-programming robot", with the original Intel 8085 code. In all likelihood, this is for reference only. I don't expect many people are going to build it 2. An updated version, running on more modern hardware, but remaining true to the algorithms published in his book. The end result will be at least three sets of code, for the Alpha, Beta and Gamma... -
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InproTK
An Incremental Spoken Dialogue Processing Toolkit
InproTK is an Incremental Spoken Dialogue Processing Toolkit, that is, a toolkit to help you build dialogue systems that listen and talk incrementally, allowing for advanced interactional behaviour. Please see our Wiki for more information: http://sourceforge.net/p/inprotk/wiki/ -
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bioluminescence
A java library for polymorphic genome assembly.
Bioluminescence is a java library for facilitating de novo genome assembly in the context of reads sampled from a single highly-polymorphic diploid individual. Bioluminescence implements a novel algorithm which uses an artificial neural network to classify contigs in a genome assembly as haplotype-specific or not-haplotype-specific. It then uses this information to partition the original input read set into two subsets, each of which has been enriched for one of the haplotypes. Initial results... -
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A Data Generator
A tool to generate synthetic test data useful to Record matchers
With growing amount of information from multiple sources it has become very hard to relate information to the correct real life entities. Record matching software try to solve this by machine learning techniques. To do this effectively, its necessary to train the record matcher with proper test data which is identical to real life data. Hence, there is a need for a data generator to create the synthetic data to be used for evaluating the quality and capability of record matching software....
