Search Results for "command-line kill linux" - Page 27
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Showing 826 open source projects for "command-line kill linux"
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Library for Recurrent Neural Networks supporting local and global learning rules and structure modification. For processing of the RNN, a computational efficient representation can be chosen.
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Objective of SnortAI project is create a family of Snort plug-ins based on Artificial Intelligence (AI) technologies (i.e. Artificial Neural Networks or Fuzzy Logic) to detect different kinds of hostile traffic.
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Jazzyk - a special-purpose programming language interpreter for development of modular intelligent agents based on a plug-in architecture.
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CherBot is an information bot for Crossfire, Daimonin and good old plain IRC that keeps track of which players collect which items, who's been online, determines a level ranking, provides a mail system for mailing offline players, manages clans and
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This project assembles the implementations of inference engines for CHORD, an object-oriented extension of CHRD.
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Java API for implementing any kind of Genetic Algorithm and Genetic Programming applications quickly and easily. Contains a wide range of ready-to-use GA and GP algorithms and operators to be plugged-in or extended. Includes Tutorials and Examples.
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Develop a neural network-based extension of Hebb/Hopfield networks to obtain powerful associative memory engine, capable of storing complex structured data, subject to its internal organization. Provide capability of patterns "blending".
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Lithops (the flowering stones) is a program that plays the game of Go. I develop Lithops as a research challenge, but also, importantly, to create a computerized partner for people learning and studying Go.
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Computer chess engine written using Qt4, which works under Knights, Jose, Arena and other chess board GUI games. Uses bitboard game representation and alpha beta brute-force search to analyse chess positions.
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FANNshell is a command-line wrapper for the FANN (Fast Artificial Neural Net) library. It provides an easy way to create, train, test, import, and export FANN neural nets via the shell.
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TBLTools is a set of GATE processing resources that implements the Fast Transformation Based Learning Algorithm. You can train it to learn rules for NLP tasks such as Named Entity Recognition and Shallow parsing.
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T-Rex (Trainable Relation Extraction) is a highly configurable machine learning-based Information Extraction from Text framework, which includes tools for document classification, entity extraction and relation extraction.
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A modular, extensible Hebrew text-to-speech engine tuned for Standard Israeli Hebrew, and associated tools.
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The purpose of this program is to take metadata and full text OCR from ContentDM and export into a database for use in other applications. The application is setup to generate a JPG derivative from either a TIF or JP2 associated with an object.
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GRAMophone is an algorithmic generator of music composition. The music is generated using two kinds of formal grammar: Chomsky’s grammar for TOP DOWN approach to the composition and a reduced version of Lindenmayer grammar for BOTTOM UP approach.
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Bayesian Surprise Matlab toolkit is a basic toolkit for computing Bayesian surprise values given a large set of input samples. It is also useful as way of exploring surprise theory. For more information see also: http://ilab.usc.edu/
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ARGMAX is an open source implementation of structured models; conditional random fields and structural support vector machine.
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The software converts temporal granularity representations expressed in terms of Calendar Algebra into the corresponding minimal representation expressed in terms of minimal periodical sets.
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Aureservoir is an open-source C++ library for analog reservoir computing neural networks (echo state networks) with bindings to various scientific computing packages.
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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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This is the source code for my 11th grade science fair project. It involves the use of autoencoders to improve error rates with small amounts of labeled data but large amounts of unlabeled data.
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MutationFinder is a biomedical natural language processing (NLP) system for extracting mentions of point mutations from free text. MutationFinder achieves high performance (99% precision, 81% recall on blind test data) as an information extraction system