يعرض 81 - 100 نتائج من 339 نتيجة بحث عن '(( python model implementing ) OR ( ((python tool) OR (python code)) representing ))', وقت الاستعلام: 0.27s تنقيح النتائج
  1. 81

    Code حسب Baoqiang Chen (21099509)

    منشور في 2025
    "…We divided the dataset into training and test sets, using 70% of the genes for training and 30% for testing. We implemented machine learning algorithms using the following R packages: rpart for Decision Trees, gbm for Gradient Boosting Machines (GBM), ranger for Random Forests, the glm function for Generalized Linear Models (GLM), and xgboost for Extreme Gradient Boosting (XGB). …"
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    code implementing the finite element method and finite difference method from Hybrid PDE-ODE Models for Efficient Simulation of Infection Spread in Epidemiology حسب Kristina Maier (20520371)

    منشور في 2025
    "…This dataset contains code implementing the finite element method based on Kaskade 7 (C++) and code implementing the finite difference method (Python) for the development of hybrid PDE-ODE models aimed at efficiently simulating infection spread in epidemiology. …"
  5. 85

    BaNDyT: Bayesian Network Modeling of Molecular Dynamics Trajectories حسب Elizaveta Mukhaleva (20602550)

    منشور في 2025
    "…We believe that BaNDyT is the first software package to include specialized and advanced features for analyzing MD simulation trajectories using a probabilistic graphical network model. We describe here the software’s uses, the methods associated with it, and a comprehensive Python interface to the underlying generalist BNM code. …"
  6. 86

    BaNDyT: Bayesian Network Modeling of Molecular Dynamics Trajectories حسب Elizaveta Mukhaleva (20602550)

    منشور في 2025
    "…We believe that BaNDyT is the first software package to include specialized and advanced features for analyzing MD simulation trajectories using a probabilistic graphical network model. We describe here the software’s uses, the methods associated with it, and a comprehensive Python interface to the underlying generalist BNM code. …"
  7. 87

    BaNDyT: Bayesian Network Modeling of Molecular Dynamics Trajectories حسب Elizaveta Mukhaleva (20602550)

    منشور في 2025
    "…We believe that BaNDyT is the first software package to include specialized and advanced features for analyzing MD simulation trajectories using a probabilistic graphical network model. We describe here the software’s uses, the methods associated with it, and a comprehensive Python interface to the underlying generalist BNM code. …"
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    6. Motif Code Theory حسب William Terry (22279591)

    منشور في 2025
    "…<p dir="ltr">The Motif Code Theory (MCT) simulation code, mct_unified_code.py, is a Python 3.9 script that models the universe as a time-dependent directed multigraph G(t) = (V(t), E(t)) with N=10^7 vertices (representing quantum fields/particles) and edges (interactions). …"
  12. 92

    Data features examined for potential biases. حسب Harry Hochheiser (3413396)

    منشور في 2025
    "…Teams were invited to develop hypotheses, to use tools of their choosing to identify potential sources of bias, and to provide a final report.…"
  13. 93

    Analysis topics. حسب Harry Hochheiser (3413396)

    منشور في 2025
    "…Teams were invited to develop hypotheses, to use tools of their choosing to identify potential sources of bias, and to provide a final report.…"
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    Memory monitoring recognition test workflow. حسب Pedro C. Martínez-Suárez (21192459)

    منشور في 2025
    "…Developed with open-source technology and an interface adaptable to various platforms, the MMRT represents an accessible and efficient tool for psychological evaluation, with innovative potential in the study of reality monitoring.…"