بدائل البحث:
modular implementation » model implementation (توسيع البحث), world implementation (توسيع البحث)
code implementation » model implementation (توسيع البحث), time implementation (توسيع البحث), world implementation (توسيع البحث)
model implementing » model implemented (توسيع البحث), model implementation (توسيع البحث), model representing (توسيع البحث)
python model » python code (توسيع البحث), python tool (توسيع البحث), action model (توسيع البحث)
modular implementation » model implementation (توسيع البحث), world implementation (توسيع البحث)
code implementation » model implementation (توسيع البحث), time implementation (توسيع البحث), world implementation (توسيع البحث)
model implementing » model implemented (توسيع البحث), model implementation (توسيع البحث), model representing (توسيع البحث)
python model » python code (توسيع البحث), python tool (توسيع البحث), action model (توسيع البحث)
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Performance Benchmark: SBMLNetwork vs. SBMLDiagrams Auto-layout.
منشور في 2025"…<p>Log–log plot of median wall-clock time for SBMLNetwork’s C++-based auto-layout engine (blue circles, solid fit) and SBMLDiagrams’ implementation of the pure-Python NetworkX spring_layout algorithm (red squares, dashed fit), applied to synthetic SBML models containing 20–2,000 species, with a fixed 4:1 species-to-reaction ratio. …"
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ALAAM models for the Deezer networks, with liking “alternative” music as the outcome variable.
منشور في 2024الموضوعات: -
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Models estimated using ALAAMEE for the Deezer networks, with liking jazz as the outcome variable.
منشور في 2024الموضوعات: -
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Exploring the integration of metaverse technologies in engineering education through the SAMR model
منشور في 2025"…The final deliverable is a plan for phased integration of metaverse learning into a Python programming course following this model, building on existing best practices.…"
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48
Jaxkineticmodel allows for hybridizing kinetic models with neural networks.
منشور في 2025الموضوعات: -
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2D Orthogonal Planes Split: <b>Python</b> and <b>MATLAB</b> code | <b>Source Images</b> for Figures
منشور في 2025"…The output files generated by the code include results from both Python and MATLAB implementations; these output images are provided as validation, demonstrating that both implementations produce matching results.…"
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EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit
منشور في 2025"…In this paper, a new RDKit/Python implementation of the algorithm is described, that is both accurate and complete. …"
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Workflow of a typical Epydemix run.
منشور في 2025"…<div><p>We present Epydemix, an open-source Python package for the development and calibration of stochastic compartmental epidemic models. …"
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The format of the electrode csv file
منشور في 2025"…To enable efficient calculation of extracellular signals from large neural network simulations, we have developed <i>BlueRecording</i>, a pipeline consisting of standalone Python code, along with extensions to the Neurodamus simulation control application, the CoreNEURON computation engine, and the SONATA data format, to permit online calculation of such signals. …"
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The format of the simulation reports
منشور في 2025"…To enable efficient calculation of extracellular signals from large neural network simulations, we have developed <i>BlueRecording</i>, a pipeline consisting of standalone Python code, along with extensions to the Neurodamus simulation control application, the CoreNEURON computation engine, and the SONATA data format, to permit online calculation of such signals. …"
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57
Comparison of BlueRecording with existing tools
منشور في 2025"…To enable efficient calculation of extracellular signals from large neural network simulations, we have developed <i>BlueRecording</i>, a pipeline consisting of standalone Python code, along with extensions to the Neurodamus simulation control application, the CoreNEURON computation engine, and the SONATA data format, to permit online calculation of such signals. …"
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The format of the weights file
منشور في 2025"…To enable efficient calculation of extracellular signals from large neural network simulations, we have developed <i>BlueRecording</i>, a pipeline consisting of standalone Python code, along with extensions to the Neurodamus simulation control application, the CoreNEURON computation engine, and the SONATA data format, to permit online calculation of such signals. …"
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Cost functions implemented in Neuroptimus.
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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