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  • 1
    Modules for developing, configuring and running a computation based on function blocks entirely in Python. Function block based computation is a data, event and state driven approach to data processing.
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  • 2
    Portable, optimised implementation of Bruce Schneier's 64-bit symmetric block cipher, Blowfish. Includes support for ECB, CBC, CFB, OFB and CTR block cipher modes, weak key detection and parallelisation using OpenMP.
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  • 3
    Blubber system is an Eclipse RCP application for distributed systems modeling. Designed for university researches and inlcudes: task graph editor; graph transformation tools; graph modelling on distributed system; real-time modelling on GerdaFramework.
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  • 4
    BlueDS
    BlueDS is a library that contains the implementation of frequently used data structures and algorithms in Computer Science. BlueDS is designed to be fast and efficient.
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    MongoDB Atlas runs apps anywhere

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  • 5

    Boehm-Demers-Weiser Garbage Collector

    Conservative "garbage collection" memory management library

    The Boehm-Demers-Weiser conservative garbage collector. The CVS source of the version 7+ collector resided here for a while, but is now on github. Other information and release snapshots are currently at http://hboehm.info/gc
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  • 6
    Bookinex is an application designed to index your collection of books, it supports scanning of Barcodes to recognize ISB Numbers and querying web services to collect data.
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  • 7
    Bricks4J is a set of common tools, utils and classes for Java, aiming to ease development for a widespread kind of tasks.
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  • 8
    BudgetedSVM

    BudgetedSVM

    BudgetedSVM: A C++ Toolbox for Large-scale, Non-linear Classification

    We present BudgetedSVM, a C++ toolbox containing highly optimized implementations of three recently proposed algorithms for scalable training of Support Vector Machine (SVM) approximators: Adaptive Multi-hyperplane Machines (AMM), Budgeted Stochastic Gradient Descent (BSGD), and Low-rank Linearization SVM (LLSVM). BudgetedSVM trains models with accuracy comparable to LibSVM in time comparable to LibLinear, as it allows solving highly non-linear classi fication problems with millions of high-dimensional examples within minutes on a regular personal computer. We provide command-line and Matlab interfaces to BudgetedSVM, efficient API for handling large-scale, high-dimensional data sets, as well as detailed documentation to help developers use and further extend the toolbox.
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  • 9
    Cul is a simple utility library written in c programming language that provides many typical structures (vectors, matrices, lists, trees) and algorithms (automatic structure management, sorting, etc.) for the programmer.
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  • 10
    Cross-platform C++ library for Reverse Polish Notation calculus. Focuses on providing a reusable set of RPN functionalities such as parsing, variable substitution and computation.
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  • 11
    C++ SimpleTable is a class which enables the developer to create tables and detect design errors in compile-time
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  • 12
    TypeRecognizer is C++ class which enables the developer to recognize data types in compile-time
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  • 13
    Very basic cellular automaton implementation in C#. Based upon the "Togetherness" algorithm described at http://www.hermetic.ch/pca/tg.htm.
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  • 14
    CException
    Simple and Fast Exception Handling for C.
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  • 15
    CGL(C Generic Library) is a stl-like library written in pure C.It implements iterators, memory management,generic containers such as list,map, generic algorithms such as sort() and search(),and it can manipulate any types of data.
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  • 16
    The mathematical morphology have different applications on Image processing, it represent one processing non lineal sample. We show the CIDEFORM software as result of all mathematical morphology techniques.
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  • 17
    Complex list management with an extremely versatile interface. Built-in sorting (with abstract variants), finding, iteration, and element manipulation. Supports const-interface elements. Transparent 'virtual array storage' (VAS) for large element types
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  • 18
    A Color Management System library implement by Java language.
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  • 19
    CRUSH

    CRUSH

    Data reduction and imaging for select astronomical cameras

    CRUSH is a pioneering reduction and imaging suite for many astronomical cameras operating at far-infrared, submillimeter and millimeter wavelengths, such as SHARC-2, SCUBA-2, LABOCA, GISMO, or SOFIA/HAWC+ (to name a few).
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  • 20
    20 SkipList containers for C++ that work with STL. Combines set/map functionality with random access in logn time. One container is a multilist where you can order the same elements in a variety of different ways simultaneously.
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  • 21
    CSGraph is a simple graph library. It provides the most popular algorithms to create and manipulate graphs.
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  • 22

    CUSHAW2: Parallel Gapped Read Alignment

    One of the leading short-/long-read aligner to large genomes

    CUSHAW2 is a fast and parallel gapped read alignment to large genomes, such as the human genome. The performance evaluation, by aligning simulated and real datasets to the human genome, shows that CUSHAW2 is consistently among the highest-ranked aligners in terms of alignment quality for both single-end and paired-end alignment, while demonstrating highly competitive speed. Furthermore, our aligner shows good parallel scalability with respect to the number of CPU threads.
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  • 23
    Continuous wavelet transform library
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  • 24
    Implementation of cache conscious STL lists in Frias, L., Petit, J., and Roura, S. 2009. Lists revisited: Cache-conscious STL lists. J. Exp. Algorithmics 14 (Dec. 2009), 3.5-3.27. DOI= http://doi.acm.org/10.1145/1498698.1564505
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  • 25
    A capsule tree is a general purpose, self-balancing tree data structure for large, ordered, data-sets. It is designed to provide the same characteristics as B-trees and B+trees, but built from the ground up for in-memory usage. In other words, there are no provisions for “slow” I/O cases. The original motivation for this tree was a better backend for memory managers. However, the end result was a new sub-category of trees. The implementation giving here is just one implementation of the new tree sub-category, there can be others. In any case, read the PDF: “Capsule Trees - A Primer”, before delving into the code.
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