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  • 1

    EpLibrary

    Visual C++ Utility Library

    * EpLibrary project in this site is not maintained anymore. * The project has been moved to https://github.com/juhgiyo/EpLibrary EpLibrary is a utility library for Visual C++. The features includes: - Math Framework - Enhanced Binary Search - Sort - Stream Framework - Container Framework - Simple Debugger Framework - FileSystem Framework - Other Frameworks - Server/Client Template Framework - System Framework - Thread System For detailed documentation, please download this full document (EPLibrary Documentation.chm) from the "Downloads" Section. * If the documentation file is not visible after finishing download. Solution 1. ** Double-click the .chm file. ** In the Open File-Security Warning dialog box, click to clear the Always ask before opening this file check box. ** Click Open. Solution 2. ** Right-click the CHM file, and then click Properties. ** Click Unblock. ** Double-click the .chm file to open the file.
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  • 2
    Ertha is an open source GIS whose main focus is to guarantee easy extensibility and straightforward integration of custom modules. It provides basic geographic rendering and topologic analysis and exposes the main data structures loaded from shapefiles.
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  • 3
    Evolutionary computation library and benchmark utility. Integer encoded genetic algorithm.
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  • 4
    EvoTrader is a stock picking platform that utilizes genetic programming to evolve rules for generating stock trading signals.
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  • 5
    Evokit is an integrated environment for developing evolutionary computation algorithms. It is built around Java and the Eclipse platform, and will support several different libraries including ECJ.
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  • 6
    A self-contained, fully configurable Java "game" to simulate multi-species evolution. Design species by optionally specifying every attribute; modify any or all environmental settings; let them loose to eat, fight, procreate, die, and Evolve!
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  • 7
    Evolutionary Algorithm

    Evolutionary Algorithm

    Evolutionary Algorithm using Python

    Evolutionary Algorithm is an educational Python project that demonstrates evolutionary computation techniques such as genetic algorithms, evolution strategies, and neuroevolution in a clear and accessible way. Rather than being a single monolithic library, this repository provides a series of self-contained examples showing how different population-based search methods solve optimization problems and adapt candidate solutions over generations. Users can explore basic genetic algorithm setups, match phrase examples, pathfinding challenges, and microbial GA variants, as well as evolution strategy approaches like NES. The project also links classical evolutionary approaches with neural networks, illustrating how evolution can be used for model training in reinforcement learning and supervised contexts.
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  • 8
    Evolutionary.jl

    Evolutionary.jl

    Evolutionary & genetic algorithms for Julia

    A Julia package for evolutionary & genetic algorithms. The package can be installed with the Julia package manager.
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  • 9
    EvolutionaryComputation

    EvolutionaryComputation

    Evolutionary Computation on Android

    This project is a prototype of evolutionary computation algorithms implementations for Android. We, Tom BERNARD and Ugo PICHE, were asked to do this project as part of our electronic & computer science in the Polytech'Paris-UPMC engineer school, in France. We wanted to thank Mario Zechner and all contributors behind the fabulous libGDX project (https://code.google.com/p/libgdx/) which allowed us to use Box2D and OpenGL ES more, more easily than without this API.
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  • 10
    Evolve is a simulation written in java that uses the Genetic Algorithm to evolve intelligent agents acting in a rich environment.
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  • 11

    ExRandom

    Sampling exactly from the normal and exponential distributions

    ExRandom is a small header-only C++11 library for exact sampling from the normal, exponential, and discrete normal distributions (provided that the underlying generator is perfect). This library provides an implementation of the algorithms described in C. F. F. Karney, Sampling exactly from the normal distribution, ACM Trans. Math. Software 42(1), 3:1-14 (Jan. 2016), https://doi.org/10.1145/2710016, https://arxiv.org/abs/1303.6257.
    Downloads: 0 This Week
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  • 12

    Exact Subgraph Matching Algorithm

    Exact Subgraph Matching Algorithm for Dependency Graphs

    The subgraph matching problem (subgraph isomorphism) is NP-complete. We designed a simple exact subgraph matching (ESM) algorithm for dependency graphs using a backtracking approach. The total worst-case algorithm complexity is O(n^2 * k^n) where n is the number of vertices and k is the vertex degree. We have demonstrated the successful usage of our algorithm in three biomedical relation and event extraction applications: BioNLP 2011 shared tasks on event extraction, Protein-Residue association detection and Protein-Protein interaction identification. This Java implementation implements our ESM algorithm. See README file: https://sourceforge.net/projects/esmalgorithm/files/ If you use our ESM implementation to support academic research, please cite the following paper: Haibin Liu, Vlado Keselj, and Christian Blouin. Exploring a Subgraph Matching Approach for Extracting Biological Events from Literature. Computational Intelligence, 2013.
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  • 13
    This is a general purpose expression evaluator which has abilities to evaluate mathematical expressions having operators: +, -, *, /, < , <=, >, >=, ==, !=, &&, ||. The enhancement to support all the other arithmetic operators is under development.
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  • 14

    Expressions parser and evaluator

    C# classes for parsing and evaluation.

    Set of C# classes for expression parsing and evaluation. Expressions may have user-defined operators, user-defined variables of any type, user-defined functions, user-defined classes with methods and properties, object constants, arrays and collections with indexes, assignment to variables and properties of objects. Supports Unicode. Name of variables, functions, methods and properties, string constants may have surrogates, diacritical combining marks.
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  • 15
    "Extended Data Types for PHP" is a collection of PHP5 classes, which provide easily usable common data types like Lists, Trees or Graphs. Installation will be possible via an PEAR Channel or as local library in a website's code base.
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  • 16

    Extensible Compressed Trie

    An extensible and compressed trie data structure written in C++.

    An extensible and compressed trie data structure written in C++.
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  • 17
    ExtraDix is a sorting algorithm based on Radixsort. It is faster than Quicksort, stable, realized in C and can sort by any basic data type. Testing was done with 1 million data records sorting char, short, int, long, float, double and strings.
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  • 18
    FATE

    FATE

    An industrial grade federated learning framework

    FATE (Federated AI Technology Enabler) is the world's first industrial grade federated learning open source framework to enable enterprises and institutions to collaborate on data while protecting data security and privacy. It implements secure computation protocols based on homomorphic encryption and multi-party computation (MPC). Supporting various federated learning scenarios, FATE now provides a host of federated learning algorithms, including logistic regression, tree-based algorithms, deep learning and transfer learning. FATE became open-source in February 2019. FATE TSC was established to lead FATE open-source community, with members from major domestic cloud computing and financial service enterprises. FedAI is a community that helps businesses and organizations build AI models effectively and collaboratively, by using data in accordance with user privacy protection, data security, data confidentiality and government regulations.
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  • 19

    FFT for ARMv6

    Fixed point 16/32 integer FFT library for the Raspberry Pi and Android

    This library is being created as I have a need to do very fast FFTs on low end devices not supporting the NEON instruction set. The Raspberry Pi is an ideal candidate for developing in gcc before porting to JNI for low spec Android devices, hence it's inclusion. Fixed point 16/32 integer FFT library suitable for the Raspberry Pi and Android devices. Includes test stubs for gcc on the Raspberry Pi and a Basic4Android wrapper from JNI. It includes hand optimised ARMv6 assembler, demonstrating techniques such as pipeline stuffing to achieve maximum performance. It also demonstrates how to include large chunks of assembler inline with C/C++ thus avoiding ABI issues between platforms.
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  • 20
    FJSP Software

    FJSP Software

    A Software for Flexible Job Shop Scheduling

    Flexible job shop scheduling problem (FJSP) is very important in many fields such as production management, resource allocation and combinatorial optimization. In the real manufacturing systems, each operation could be processed on more than one machine and each machine can also process several operations. This feature is known as flexibility. You can define your problem in this software and get an optimal solution as a Gantt Chart. This software is based on my M.Sc. thesis of Shahed university (Tehran, Iran).
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  • 21
    Fuzzy Procedural Content Generation Library (FPCGlib) is a C++ template library for game development. FPCGlib provides a unique combination of fuzzy mathematics and procedural techniques to safely generate content with simulated natural variability.
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  • 22
    FPM - Fixed Point Math substitutes expensive floating point operations by much cheaper integer arithmetics. Use this library in your plain C (gcc) projects if you like.
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  • 23
    A high-performance functional, set-theoretic collections library. All collections are immutable; updates return a new collection. Supports arbitrary nesting (sets of sets etc.). Implemented with heterogeneous binary trees. Lisp and Java; more to come.
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  • 24
    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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  • 25
    Libface is a cross platform framework for developing face recognition algorithms and testing its performance.
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