4 projects for "collaborative filtering" with 2 filters applied:

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  • 1
    MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users. * More info + downloads: https://mlpack.org * Git repo: https://github.com/mlpack/mlpack
    Downloads: 0 This Week
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  • 2
    Deep-Learning-for-Recommendation-Systems

    Deep-Learning-for-Recommendation-Systems

    This repository contains Deep Learning based articles

    Deep-Learning-for-Recommendation-Systems is a curated repository that aggregates research papers, articles, and code related to deep learning methods for recommender systems. The project organizes influential academic work covering topics such as collaborative filtering, neural recommendation models, and deep feature learning. It includes references to papers describing architectures like collaborative deep learning, neural autoregressive models, and convolutional approaches to recommendation. The repository also provides links to implementations and external code repositories that demonstrate how these algorithms can be applied in real systems. ...
    Downloads: 0 This Week
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  • 3
    Vogoo PHP LIB is a powerful collaborative filtering engine that allows Webmasters to easily add high personalisation features to their Web Sites.
    Downloads: 0 This Week
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  • 4
    This is a recommendation system built in ruby which is able to generate recommendations for user inputted data (a text file and a ratings matrix). It works on a hybrid model of collaborative filtering and content based filtering.
    Downloads: 0 This Week
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