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modular implementation » model implementation (Expand Search), world implementation (Expand Search)
model presented » model predicted (Expand Search)
python model » python code (Expand Search), python tool (Expand Search), action model (Expand Search)
modular implementation » model implementation (Expand Search), world implementation (Expand Search)
model presented » model predicted (Expand Search)
python model » python code (Expand Search), python tool (Expand Search), action model (Expand Search)
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FibrilGen: A Python Package for Atomistic Modeling of Peptide β‑Sheet Nanostructures
Published 2025Subjects: -
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FibrilGen: A Python Package for Atomistic Modeling of Peptide β‑Sheet Nanostructures
Published 2025Subjects: -
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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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Exploring the integration of metaverse technologies in engineering education through the SAMR model
Published 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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Workflow of a typical Epydemix run.
Published 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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Resolving Harvesting Errors in Institutional Repository Migration : Using Python Scripts with VS Code and LLM Integration.
Published 2025“…Therefore, we decided to create a dedicated Python program using Large Language Model (LLM)-assisted coding.…”
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Optimizing Neuronal Calcium Flux Analysis: A Python Framework for Alzheimer's and TBI Studies
Published 2025“…<p dir="ltr">This study presents a Python-based framework for analyzing calcium flux in cortical neurons, particularly in the context of Alzheimer’s disease and traumatic brain injury (TBI). …”
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BSTPP: a python package for Bayesian spatiotemporal point processes
Published 2025“…There is a lack of packages with the ability to perform inference for these models, particularly in python. Thus we present BSTPP a python package for Bayesian inference on spatiotemporal point processes. …”
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