Showing 22 open source projects for "zend framework 3"

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  • 1
    Python Outlier Detection

    Python Outlier Detection

    A Python toolbox for scalable outlier detection

    PyOD is a comprehensive and scalable Python toolkit for detecting outlying objects in multivariate data. This exciting yet challenging field is commonly referred as outlier detection or anomaly detection. PyOD includes more than 30 detection algorithms, from classical LOF (SIGMOD 2000) to the latest COPOD (ICDM 2020) and SUOD (MLSys 2021). Since 2017, PyOD [AZNL19] has been successfully used in numerous academic researches and commercial products [AZHC+21, AZNHL19]. PyOD has multiple neural...
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  • 2
    YACS (Yet Another Constraint Solver) is a Java library and an object-oriented framework for constraint solvers. It supports propagating and solving of constraint satisfaction problems with finite and infinite domains (discrete values and real intervals).
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  • 3
    Coach

    Coach

    Enables easy experimentation with state of the art algorithms

    Coach is a python framework that models the interaction between an agent and an environment in a modular way. With Coach, it is possible to model an agent by combining various building blocks, and training the agent on multiple environments. The available environments allow testing the agent in different fields such as robotics, autonomous driving, games and more.
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  • 4
    Dopamine

    Dopamine

    Framework for prototyping of reinforcement learning algorithms

    Dopamine is a research framework for fast prototyping of reinforcement learning algorithms. It aims to fill the need for a small, easily grokked codebase in which users can freely experiment with wild ideas (speculative research). This first version focuses on supporting the state-of-the-art, single-GPU Rainbow agent (Hessel et al., 2018) applied to Atari 2600 game-playing (Bellemare et al., 2013).
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  • 5

    TEESer

    Tool for Engineering Emergent Selforganizing bEhavioR

    Teeser is a java-based integration framework for engineering emergent self-organizing behavior in distributed systems. It contains tools for analysis, tuning, macroscopic probing and simulations of distributed systems. Library of tools can be extended and everybody is encouraged to provide and share its tools with the community. The main idea is to provide application designers ability to seamlessly use tools which are helpful to design self-organizing behavior. Designers can continue to...
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  • 6
    FUMOLA - Functional Mock-up Laboratory

    FUMOLA - Functional Mock-up Laboratory

    An FMI-based co-simulation framework.

    FUMOLA is a co-simulation framework specifically designed to support the features offered by the FMI specification. It provides a flexible platform that allows to configure and execute co-simulation setups in an easy way. FUMOLA is developed on top of the Ptolemy II framework (https://ptolemy.eecs.berkeley.edu) and the FMI++ library (http://fmipp.sourceforge.net). The online documentation of FUMOLA is available here: https://sourceforge.net/p/fumola/wiki/Home/
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  • 7

    HH-Evolver

    A framework for domain-specific, hyper-heuristic evolution

    HH-Evolver is a framework for domain-specific, hyper-heuristic evolution. HH-Evolver automates the design of domain-specific heuristics for planning domains. Hyper-heuristics generated by our tool can then be used with combinatorial search algorithms such as A* and IDA* for solving problems of the given domain.
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  • 8
    S-Match

    S-Match

    S-Match is a semantic matching framework.

    S-Match is a semantic matching framework. S-Match takes any two tree like structures (such as database schemas, classifications, lightweight ontologies) and returns a set of correspondences between those tree nodes which semantically correspond to one another. S-Match contains implementations of the semantic matching, minimal semantic matching and structure preserving semantic matching algorithms. S-Match applies as a solution in many fields, including: information integration,...
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  • 9
    Sudoku

    Sudoku

    solve Sudoku puzzles as quick as possible

    * Requires : .net framework 4.5 or later Sudoku , This application developed using C# and requires .net framework 4.5 or later. GUI supports better good feedback for each and every action. To easy to handle. Save and reuse the Sudoku file , all files are stored as .sdku files ( sudoku files ) and this files are opened only through this application. Use it and rate it !
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  • 10
    Asteroid

    Asteroid

    A CBLS Engine in SCALA, NOW part of OscaR

    Asteroid has been merged with Scampi, to give rise to OScar. Follow us on https://bitbucket.org/oscarlib/oscar/wiki/Home Asteroid offers a powerful framework for developing constraint-based local search solution to combinatorial problems. This technique provides good scalability to real-world problems. It includes a library of standard constraints and invariants to declaratively define the problem you want to solve, and it also provides powerful search mechanisms.
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  • 11

    Genetic Basis

    A general genetic algorithm framework

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  • 12
    A base set of libraries. Boilerplate type code and algorithms. Currently skuttil (Java util & parsing code) and searKit (generic Java search framework).
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  • 13
    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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  • 14
    Blueprint for developing applications based on zend framework.
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  • 15
    Combean is a Java framework for mathematical structures and optimization algorithms. Through a set of Java interfaces and JavaBeans-based config, Combean glues optimization codes together - leading to more interoperable, adaptable and flexible solutions.
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  • 16
    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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  • 17
    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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  • 18
    CuberGA project is the flexible Genetic Algorithms framework. Realize your ideas easy with deliveries of this project. Keywords: genetic algorithms, framework, permutation, mutation, crossover, genotype, selection, survival, Левченко Илья.
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  • 19
    Net4Native is a library that simulates some of the most useful Microsoft .Net classes in native Win32 Delphi. This allows programming with comfort without relying on the huge .Net framework and maintains source code compatibility between Win32 and .Net.
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  • 20
    Galapagos is a Genetic Algorithm framework written in Java 5 with the intended audience of undergraduates in an Artificial Intelligence class. The goal of Galapagos is usability: a competent student should be able to learn this library in an afternoon.
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  • 21
    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.
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  • 22
    Procedural content generation of deterministic and complex entities, with properties and other entities inside, defined by an editable XML file, along with a framework to simulate actions, compositions, and interactions of entities.
    Downloads: 0 This Week
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