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model implementation » modular implementation (Expand Search), world implementation (Expand Search), time implementation (Expand Search)
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Source Code for the Hierarchical Key Assignment Scheme (HKAS)
Published 2025Subjects: “…Hierarchical Key Assignment, Cryptography, Key Management, HKAS, Security Model, Python Implementation…”
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Survey Dataset and Python Code for Preprocessing, Statistical Tests
Published 2025“…Supporting figures and tables are available in the repository</p><p dir="ltr">Data processing was implemented in Python 3.11 and attached are all the python scripts used for preprocessing , and statistical Analysis and also the questionnaire used for the study.…”
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Cost functions implemented in Neuroptimus.
Published 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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Python Implementation of HSGAdviser Chatbot: AI model for Sustainable Education
Published 2025“…<p dir="ltr">This repository contains the Python source code and model implementation for HSGAdviser, an AI speech assistant designed to provide personalized college and career guidance for high school students through conversational AI. …”
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Python code for a rule-based NLP model for mapping circular economy indicators to SDGs
Published 2025“…The package includes:</p><ul><li>The complete Python codebase implementing the classification algorithm</li><li>A detailed manual outlining model features, requirements, and usage instructions</li><li>Sample input CSV files and corresponding processed output files to demonstrate functionality</li><li>Keyword dictionaries for all 17 SDGs, distinguishing strong and weak matches</li></ul><p dir="ltr">These materials enable full reproducibility of the study, facilitate adaptation for related research, and offer transparency in the methodological framework.…”
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BSTPP: a python package for Bayesian spatiotemporal point processes
Published 2025“…However, they are sometimes neglected due to the difficulty of implementing them. There is a lack of packages with the ability to perform inference for these models, particularly in python. …”
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Five Operator Lattice Simulation
Published 2025“…</p><p dir="ltr">The model bridges applied mathematics, cognitive science, and computational neuroscience, providing a reproducible framework for studying consciousness as a complex, recursive system.…”
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Python implementation for image-based ERT inversion using ViT, CNN, UNet, and LDM models, and related data conversion and visualization
Published 2025“…<p dir="ltr">Python implementation for image-based ERT inversion using ViT, CNN, UNet, and LDM models, and related data conversion and visualization.…”
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Overview of the implemented simulation tool and training framework in Diffrax.
Published 2025Subjects: -
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