Showing 61 - 80 results of 264 for search '(( ((python model) OR (python tool)) implementation ) OR ( python effective implementation ))', query time: 0.32s Refine Results
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    BaNDyT: Bayesian Network Modeling of Molecular Dynamics Trajectories by Elizaveta Mukhaleva (20602550)

    Published 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. …”
  3. 63

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

    Published 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. …”
  4. 64

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

    Published 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. …”
  5. 65

    code implementing the finite element method and finite difference method from Hybrid PDE-ODE Models for Efficient Simulation of Infection Spread in Epidemiology by Kristina Maier (20520371)

    Published 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. …”
  6. 66

    The format of the electrode csv file by Joseph James Tharayil (21416715)

    Published 2025
    “…To our knowledge, this is the first application of this generalized (i.e., non-dipolar) reciprocity-based approach to simulate EEG recordings. We use these tools to calculate extracellular signals from an <i>in silico</i> model of the rat somatosensory cortex and hippocampus and to study signal contribution differences between regions and cell types.…”
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    The format of the simulation reports by Joseph James Tharayil (21416715)

    Published 2025
    “…To our knowledge, this is the first application of this generalized (i.e., non-dipolar) reciprocity-based approach to simulate EEG recordings. We use these tools to calculate extracellular signals from an <i>in silico</i> model of the rat somatosensory cortex and hippocampus and to study signal contribution differences between regions and cell types.…”
  8. 68

    The format of the weights file by Joseph James Tharayil (21416715)

    Published 2025
    “…To our knowledge, this is the first application of this generalized (i.e., non-dipolar) reciprocity-based approach to simulate EEG recordings. We use these tools to calculate extracellular signals from an <i>in silico</i> model of the rat somatosensory cortex and hippocampus and to study signal contribution differences between regions and cell types.…”
  9. 69

    Dialogue Propositional Content Replacement (DPCR) code by Jacopo Amidei (10511297)

    Published 2025
    “…<p dir="ltr">This resource consists of a Python notebook with code that was implemented for a research project that developed a novel method for testing the components of theories of (dialogue) coherence through utterance substitution. …”
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    Python code for hierarchical cluster analysis of detected R-strategies from rule-based NLP on 500 circular economy definitions by Zahir Barahmand (18008947)

    Published 2025
    “…</p><p dir="ltr">This Python code was optimized and debugged using ChatGPT-4o to ensure implementation efficiency, accuracy, and clarity.…”
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    Numerical data and codes for "Noisy Probabilistic Error Cancellation and Generalized Physical Implementability" by Tian-Ren Jin (18781930)

    Published 2025
    “…<p dir="ltr">This data set contains the data and codes for "Noisy Probabilistic Error Cancellation and Generalized Physical Implementability". We numerically simulate the bias of noisy probabilistic error cancellation with noisy Pauli operations and the bias of error model violation.…”
  14. 74

    Simple implementation examples of agent AI on free energy calculation and phase-field simulation by Toshiyuki Koyama (22828581)

    Published 2025
    “…<p>With the development of an environment that equips large language models with tools, chat-type artificial intelligence (AI) is currently shifting to agent-type AI. …”
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