Showing 4 open source projects for "q learning algorithm"

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    Parallel and Distributed Process System

    Parallel and Distributed Process System

    NOTICE OF CONSOLIDATION & PARTNERSHIP PENDING As of April 2026, the 20

    NOTICE OF CONSOLIDATION & PARTNERSHIP PENDING As of April 2026, the 20 pipelines of the QCAUS/PDPBioGen suites are undergoing consolidation for high-scale institutional research. Core 'Ford 2026' algorithms remain the proprietary IP of the Ford Peace and Justice Foundation. Academic users at partner institutions are currently performing validation; all other commercial inquiries must contact the author Computational Neuroscience: Large-scale neural population dynamics, brain-inspired...
    Downloads: 9 This Week
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  • 2
    AI learning

    AI learning

    AiLearning, data analysis plus machine learning practice

    We actively respond to the Research Open Source Initiative (DOCX) . Open source today is not just open source, but datasets, models, tutorials, and experimental records. We are also exploring other categories of open source solutions and protocols. I hope you will understand this initiative, combine this initiative with your own interests, and do what you can. Everyone's tiny contributions, together, are the entire open source ecosystem. We are iBooker, a large open-source community,...
    Downloads: 0 This Week
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  • 3

    MS-ML Studio

    Free and Open-Source Tool for Mass Feature Extraction

    Mass spectrometer is a useful tool for biochemistry research field analysis. It is used to identify microorganisms, protein, chemical compounds and complex diseases by blood analysis. There is many tools and libraries to handle different steps of mass spectrometry (MS) data analysis. However, the integration of all these tools lacks user friendly approaches. We developed a machine learning solution capable to handle all steps of MS data analysis. The ML-MS Tool is an free software that...
    Downloads: 0 This Week
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  • 4
    BIL++
    BIL++ is a set of standalone C++ packages for data processing in Bioinformatics (Graph mining, Bayesian networks, Genetic algorithm, Discretization, Gene expression data analysis, Hypothesis testing).
    Downloads: 0 This Week
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