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model implemented » widely implemented (Expand Search), model implementing (Expand Search), model presented (Expand Search)
python model » python code (Expand Search), python tool (Expand Search), action model (Expand Search)
consider » considered (Expand Search)
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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 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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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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Python Code for Fine-Tuned BERT Model in High School Student Advising
Published 2025“…<p dir="ltr">This repository contains the Python implementation and fine-tuned BERT model for answering high school student questions on college and career advising, based on the methodology described in Assayed et al. (2024). …”
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ALAAM models for the Deezer networks, with liking “alternative” music as the outcome variable.
Published 2024Subjects: -
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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. …”