Showing 3 open source projects for "large integer factorization"

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    DeepCTR

    DeepCTR

    Package of deep-learning based CTR models

    DeepCTR is a Easy-to-use,Modular and Extendible package of deep-learning based CTR models along with lots of core components layers which can be used to easily build custom models. You can use any complex model with model.fit(), and model.predict(). Provide tf.keras.Model like interface for quick experiment. Provide tensorflow estimator interface for large scale data and distributed training. It is compatible with both tf 1.x and tf 2.x. With the great success of deep learning,DNN-based...
    Downloads: 1 This Week
    Last Update:
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  • 2
    Albedo

    Albedo

    A recommender system for discovering GitHub repos

    Albedo is an open-source recommender system aimed at helping developers discover GitHub repositories by learning from activity signals. It treats repositories and developers as a graph of interactions and applies large-scale matrix factorization to model affinities, with Apache Spark providing the distributed data processing. The project focuses on implicit feedback—stars, watches, and other engagement metrics—so it can build useful recommendations without explicit ratings. A reproducible setup and Makefile-driven workflow streamline tasks like spinning up services, loading datasets, training models, and generating candidate lists. ...
    Downloads: 0 This Week
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  • 3
    microhex [discontinued]

    microhex [discontinued]

    Crossplatform hex-editing software based on Python and Qt

    This project is no longer supported. Use it on your own risk (or not use at all). Microhex is an intuitive HEX editing application that enables you to view and manipulate binary data for any file in your computer. Microhex displays the integer column and the characters column, allowing you to add new columns and delete existing ones. Each column can be assigned an unlimited number of linked address bars.
    Downloads: 3 This Week
    Last Update:
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