يعرض 1 - 20 نتائج من 266 نتيجة بحث عن '(( python plot representing ) OR ( python been implemented ))', وقت الاستعلام: 0.29s تنقيح النتائج
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    Table_1_An application programming interface implementing Bayesian approaches for evaluating effect of time-varying treatment with R and Python.pdf حسب Chen Chen (6544)

    منشور في 2023
    "…Introduction<p>Methods and tools evaluating treatment effect have been primarily developed for binary type of treatment. …"
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    Tools used in implementing the RNN models. حسب Fahmi H. Quradaa (17896527)

    منشور في 2024
    "…The development of standardized benchmarks for languages like Python, Scratch, and C#, along with cross-language comparisons, is essential. …"
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    DataSheet1_Optimisation of Water-Energy Networks in Process Industry: Implementation of Non-Linear and Multi-Objective Models.PDF حسب Miguel Castro Oliveira (11975819)

    منشور في 2022
    "…In this work, two approaches for the solving of an optimisation problem related to the improvement of water and energy use in a process industry plant (three water-using processes) are implemented. These approaches consist on the development of a mixed-integer non-linear programming (MINLP) model and a multi-objective programming (MOP) model using the Python language. …"
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    CPPE: An Open-Source C++ and Python Library for Polarizable Embedding حسب Maximilian Scheurer (4580110)

    منشور في 2019
    "…We present a modular open-source library for polarizable embedding (PE) named CPPE. The library is implemented in C++, and it additionally provides a Python interface for rapid prototyping and experimentation in a high-level scripting language. …"
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    GraSPy: an Open Source Python Package for Statistical Connectomics حسب Benjamin Pedigo (6580352)

    منشور في 2019
    "…We developed GraSPy, an open-source Python toolkit for statistical inference on graphs. …"
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    Cost functions implemented in Neuroptimus. حسب Máté Mohácsi (20469514)

    منشور في 2024
    "…To address these issues, we developed a generic platform (called Neuroptimus) that allows users to set up neural parameter optimization tasks via a graphical interface, and to solve these tasks using a wide selection of state-of-the-art parameter search methods implemented by five different Python packages. Neuroptimus also offers several features to support more advanced usage, including the ability to run most algorithms in parallel, which allows it to take advantage of high-performance computing architectures. …"
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