9 projects for "ns2 code with algorithm" with 3 filters applied:

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  • 1
    DeepCluster

    DeepCluster

    Deep Clustering for Unsupervised Learning of Visual Features

    DeepCluster is a classic self-supervised clustering-based representation learning algorithm that iteratively groups image features and uses the cluster assignments as pseudo-labels to train the network. In each round, features produced by the network are clustered (e.g. k-means), and the cluster IDs become supervision targets in the next epoch, encouraging the model to refine its representation to better separate semantic groups. This alternating “cluster & train” scheme helps the model...
    Downloads: 1 This Week
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  • 2
    Fiwix

    Fiwix

    A UNIX-like kernel for the i386 architecture

    FiwixOS 3 is a Fiwix distribution, an operating system made from a software collection that is based upon the Fiwix kernel. It basically comprises a Fiwix kernel, GNU tools, libraries and additional software. All the included software is free and open-source software made available both as compiled binaries and in source code form, which allows modifications to the original software. FiwixOS 3 uses the Newlib v3.1.0 as its C standard library, and the Ext2 as its primary file system. Fiwix...
    Downloads: 0 This Week
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  • 3

    Recursive Directory Removal

    Recursive Directory Removal

    https://github.com/mhisoft/rdpro
    Downloads: 0 This Week
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  • 4
    Mouse Rate

    Mouse Rate

    OS independent mouse rate checker written in Java.

    Tiny program written in Java, which provides OS - independent and clean algorithm to measure your mouse rate (mouse latency). Java 7u5 or higher needed to run version 1.1 and lower. Java 7u40 or higher needed to run version 1.2 and higher. **Version 1.3 changes - Fixed graphic artefacts appearing while program window is dragged. **Version 1.2 changes - Major code review & cleanup - Mouse watching algorithm optimized - Duplicate cursor statistics calculations removed & rewritten...
    Downloads: 11 This Week
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  • 5

    qlsdup

    GUI based lightweight duplicate file finder / remover.

    Simple GUI based lightweight duplicate file finder and remover. Configurable file search and preview (via external tools) option for file data. No command-line interface available! This is basically a reimplementation of dupfinder as: it doesn't compile on my computer, the executable won't work either, the projects seems dead and I didn't wanna work through the original code. So Look'n'Feel should be somewhat the same, though some changes have been made. Algorithm is simple and suitable...
    Downloads: 0 This Week
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  • 6
    Ermdia is a yet another implementation of Kademlia, which is one of the algorithm of ditributed hash table (DHT), in Erlang. This software is lightweight, fast and easy to understand since an amount of source code is quite small.
    Downloads: 2 This Week
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  • 7
    XinDiff is a diff utility implementing WinDiff like GUI by an improved LCS algorithm. The key feature in addition to WinDiff is in-place comments for code review.
    Downloads: 0 This Week
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  • 8
    Flying Ants implements a wireless ad-hoc routing algorithm based upon biologically inspired ant-like agents. The code is suitable for single board computer systems (e.g., soekris boards). It runs in userland and utilizes a threaded raw socket protocol.
    Downloads: 0 This Week
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  • 9

    Firefly's Clean Lzo

    A human-readable ISC-Licensed implementation of the LZO1X algorithm.

    LZO is a compression library which is widely used around the world. The main problem with LZO is that it is absolutely not human readable. People have done crazy stuff to get LZO to run in their language. Usually it implies inline assembly or trying to execute data which actually contains machine code. This is sick. Whoever is responsible for this sorry situation ought to be ashamed. So I'm going to deobfuscate LZO and provide a ISC implementation of this algorithm in Python and C...
    Downloads: 0 This Week
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  • Build Securely on AWS with Proven Frameworks Icon
    Build Securely on AWS with Proven Frameworks

    Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

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