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modular implementation » world implementation (Expand Search)
model implementation » world implementation (Expand Search), time implementation (Expand Search), policy implementation (Expand Search)
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modular implementation » world implementation (Expand Search)
model implementation » world implementation (Expand Search), time implementation (Expand Search), policy implementation (Expand Search)
from implementing » after implementing (Expand Search), _ implementing (Expand Search)
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Comparison of performance between our next reaction implementation and the Python library from Ref. [3].
Published 2025“…<p>We simulate SIR epidemic processes on Watts-Strogatz networks with parameters <i>k</i><sub>0</sub> = 5, <i>p</i> = 0.1 <b>(a)</b> and Barabási-Albert networks with parameter <i>m</i> = 5 <b>(b)</b> using the Python wrapper of our C++ implementation and compare its performance with the Python library from Ref. …”
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Overview of the implemented simulation tool and training framework in Diffrax.
Published 2025Subjects: -
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Secure Python Code Manager: A Tool for Protected Python Code Distribution and Management
Published 2024“…This tool allows developers worldwide to <b>share Python code securely</b>, ensuring their intellectual property is better protected from unauthorized access and misuse.…”
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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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Type II error rate from estimation of simulated outcomes using the EE algorithm.
Published 2024Subjects: -
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Type I error rate from estimation of simulated outcomes using the EE algorithm.
Published 2024Subjects: -
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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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Cost functions implemented in Neuroptimus.
Published 2024“…However, using most of these software tools and choosing the most appropriate algorithm for a given optimization task require substantial technical expertise, which prevents the majority of researchers from using these methods effectively. 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. …”
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EthoPy: Reproducible Behavioral Neuroscience Made Simple
Published 2025“…To overcome these challenges, we developed EthoPy, an open-source, Python-based behavioral control framework that integrates stimulus presentation, hardware management, and data logging. …”
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