4 projects for "readme" with 2 filters applied:

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  • 1
    CVPR 2025

    CVPR 2025

    Collection of CVPR 2025 papers and open source projects

    ...The list frequently highlights benchmarks, leaderboards, or notable results so readers can assess impact at a glance. Because conference content evolves rapidly, the repository is updated as authors release code or refine readme instructions, keeping the collection timely. For teams planning literature reviews, study groups, or rapid prototyping sprints, it acts as a central index to the year’s most relevant methods with working implementations.
    Downloads: 1 This Week
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  • 2
    Machine Learning Homework

    Machine Learning Homework

    Matlab Coding homework for Machine Learning

    The Machine-Learning-homework repository by user “Ayatans” is a collection of MATLAB code intended to solve or illustrate assignments in machine learning courses. It includes implementations of standard machine learning algorithms (such as regression, classification, etc.), scripts for data loading and preprocessing, and evaluation routines (e.g. accuracy, error metrics). Because it is structured as homework or practice material, the code is likely intended more for didactic use than for...
    Downloads: 0 This Week
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  • 3
    ...The second package includes source and object files of DEMass-DBSCAN to be used with the WEKA system. 3. The third package DEMassBayes includes the source and object files of a Bayesian classifier using DEMass. DEMassBayes.7z has jar file to be used with WEKA and a readme file listing parameters used. The source files are included in DEMassBayes_Source.7z. 4. The four package is MassTER includes source and JAR file to be used with WEKA system..
    Downloads: 0 This Week
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  • 4
    nn22 Basic Neural Networks for Octave

    nn22 Basic Neural Networks for Octave

    Simple .m files, Basic Neural Networks study for Octave (or Matlab)

    --> For a more detailed description check the README text under the 'Files' menu option :) The project consists of a few very simple .m files for a Basic Neural Networks study under Octave (or Matlab). The idea is to provide a context for beginners that will allow to develop neural networks, while at the same time get to see and feel the behavior of a basic neural networks' functioning.
    Downloads: 0 This Week
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