Showing 13 open source projects for "netfilter-layer"

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  • 1
    CUTLASS

    CUTLASS

    CUDA Templates for Linear Algebra Subroutines

    CUTLASS is a collection of CUDA C++ template abstractions for implementing high-performance matrix-multiplication (GEMM) and related computations at all levels and scales within CUDA. It incorporates strategies for hierarchical decomposition and data movement similar to those used to implement cuBLAS and cuDNN. CUTLASS decomposes these "moving parts" into reusable, modular software components abstracted by C++ template classes. These thread-wide, warp-wide, block-wide, and device-wide...
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  • 2
    The math category theory software with diagram graphical user interface.
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  • 3
    Universal Java Matrix Package

    Universal Java Matrix Package

    sparse and dense matrix, linear algebra, visualization, big data

    The Universal Java Matrix Package (UJMP) is an open source Java library which provides sparse and dense matrix classes, as well as a large number of calculations for linear algebra such as matrix multiplication or matrix inverse. Operations such as mean, correlation, standard deviation, replacement of missing values or the calculation of mutual information are supported, too. The Universal Java Matrix Package provides various visualization methods, import and export filters for a large...
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  • 4

    Immutable Sparse Wave Trees (WaveTree)

    Realtime bigdata tool for bit strings up to 2^63 based on AVL forest

    Realtime bigdata tool at the bit level based on immutable AVL forest which can be run in memory or, in future versions, as a merkle forest like a blockchain. Main object is a sparse bit string (Bits) that efficiently scales up to 2^63 bits normally compressed as forest has duplicated substrings. Bits objects support reading bit, byte, short, int, or long (Java primitives) at any bit index in 64 bit range. Example: instead of building a class to hold a header and then data, represent all of...
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  • 5
    NOTE: This project was moved to: https://github.com/eetorres The BPANNA is a flexible Back propagation neural network, which include the Conjugate Gradient and the Levenberg-Marquardt. You can change the number of inputs, number of layers, number of neurons per layer and outputs. It included an structure editor.
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  • 6
    Semantic query optimization (SQO) is the process of finding equivalent rewritings of an input query given constraints that hold in a database instance. We present a Chase & Backchase (C&B) algorithm strategy that generalizes and improves on well-known methods in the field. The implementation of our approach, the pegasus system, outperforms existing C&B systems an average by two orders of magnitude. This gain in performance is due to a combination of novel methods that lower the complexity...
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  • 7

    Black Hole Cortex

    Sphere surface layers of visual cortex approach maximum info density

    ...We can think of Wikipedia as a layer above our brains, a global SphereSurface of large surface area (a cortex layered on billions of minds) and small (10000 most important pages) density.
    Downloads: 0 This Week
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  • 8

    ViennaMath

    A symbolic math kernel in C++

    ViennaMath provides a symbolic math kernel which can be used either for compile-time processing, or for run-time evaluation. Unlike other symbolic math implementations, ViennaMath aims at providing a fast math layer for use with numerical methods such as the finite element method (cf. ViennaFEM)
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  • 9
    Nen

    Nen

    neural network implementation in java

    3-layer neural network for regression and classification with sigmoid activation function and command line interface similar to LibSVM. Quick Start: "java -jar nen.jar"
    Downloads: 0 This Week
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  • 10
    An SQL handler to interface multiple databases data to the OpeNDAP Hyrax (BES) server. Written in C++, it uses unixODBC to query DB and can be dynamically extended to use proprietary ODBC API driver in many easy ways. It is bundled with scripts to ge
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  • 11
    SurveyForge is a survey definition and execution tool oriented to statisticians running on JEE platform with special emphasis on data entry made easy, use of existing standards (Triple-S, Metanet, DDI) and reuse of standard (or not) classifications
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  • 12
    SNARLI (Simple Neural ARchitecture LIbrary) is a Java package containing a back-prop layer class and classes for the Self-Organizing Map and Incremental Growing Grid. The back-prop class supports sigma-pi connections and back-prop-through-time.
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  • 13
    A functional layer for scientific uses that produces and manipulates real functions as first-class objects. Includes parts of compilers and symbolic manipulators in a straightforward encapsulation that extends scientific programming far beyond math.h.
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