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modular implementation » model implementation (Expand Search), world implementation (Expand Search)
order presented » orders represented (Expand Search), poster presented (Expand Search), model presented (Expand Search)
python order » python code (Expand Search)
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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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<b>Opti2Phase</b>: Python scripts for two-stage focal reducer
Published 2025“…<p dir="ltr"><b>Opti2Phase: Python Scripts for Two-Stage Focal Reducer Design</b></p><p dir="ltr">The folder <b>Opti2Phase</b> contains the Python scripts used to generate the results presented in the manuscript. …”
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System Hardware ID Generator Script: A Cross-Platform Hardware Identification Tool
Published 2024“…</li><li><b>Cross-Platform Compatibility</b>: Designed with cross-platform functionality in mind, the script works seamlessly on Windows, macOS, Linux, Unix, and other operating systems where Python 3.6 or higher is installed.</li><li><b>Modular Design</b>: The script can be used as a standalone tool or imported as a module into other Python projects, enabling developers to easily integrate hardware identification into their applications.…”
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Data for "Are pseudo first-order kinetic constants properly calculated for catalytic membranes?"
Published 2025“…<h2>Description</h2><p dir="ltr">This dataset accompanies the publication "Are pseudo first-order kinetic constants properly calculated for catalytic membranes?" …”
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Output datasets from ML–assisted bibliometric workflow in African phytochemical metabolomics research
Published 2025“…</li></ul><p dir="ltr">Importantly, the <b>file names of each dataset</b> presented here were <b>renamed from their original Google Drive file paths</b> (referenced in the Python Google Colab scripts) to ensure <b>sequential, descriptive, and logically ordered naming</b>. …”
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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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Scope of our collection of pathogen models of metabolism.
Published 2024“…This cladogram was created using the GraPhlAn python tool. (b) Our collection of GENREs represents 9 phyla, 17 classes, 36 orders, 94 genera, and 345 species of pathogens. …”
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Efficient, Hierarchical, and Object-Oriented Electronic Structure Interfaces for Direct Nonadiabatic Dynamics Simulations
Published 2025“…We present a novel, flexible framework for electronic structure interfaces designed for nonadiabatic dynamics simulations, implemented in Python 3 using concepts of object-oriented programming. …”
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ESI for manuscript: "Electronic coupling and photoluminescence anisotropy in van-der-Waals-stacks of tungsten disulfide with molecular single crystals" by Aly et al.
Published 2024“…Note that the streakimage class has to be loaded to you python kernel in order to be able to execute the scripts.…”
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Soulware-Lite
Published 2025“…</p><p><br></p><p dir="ltr">The system is fully modular, built on Python + FastAPI, and integrated with Streamlit UI for visualizing alignment confidence and drift flags. …”
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Leue Modulation Coefficients (LMC): A Smooth Continuum Embedding of Bounded Arithmetic Data
Published 2025“…This Zenodo package includes: the full research paper (PDF), a complete Python implementation generating the LMC field and conductivity model, a numerical plot comparing discrete LMC values with the smoothed continuum field, a cover letter and supporting documentation. …”
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Reinforcement Learning based traffic steering inOpen Radio Access Network (ORAN)- oran-ts GitHub Repository
Published 2025“…<p dir="ltr">This repository contains the simulation codebase for research on <b>Reinforcement Learning (RL) based Traffic Steering and Resource Allocation in Open Radio Access Networks (O-RAN)</b>. It features a modular Python framework implementing various RL agents (Q-Learning, SARSA, N-Step SARSA, DQN) and a traditional baseline evaluated in a realistic cellular network environment. …”
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Supervised Classification of Burned Areas Using Spectral Reflectance and Machine Learning
Published 2025“…Six Python scripts are provided, each implementing a distinct machine learning algorithm—Random Forest, k-Nearest Neighbors (k-NN), Multi-Layer Perceptron (MLP), Decision Tree, Naïve Bayes, and Logistic Regression. …”
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Test datasets for evaluating automated transcription of primary specimen labels on herbarium specimen sheets
Published 2025“…</p><p dir="ltr">You can install these dependencies in a virtual as follows:</p><p dir="ltr">python3 -m venv .venv<br>source .venv/bin/activate<br>pip install -r requirements.txt</p><p><br></p><p dir="ltr">To evaluate your pipeline, produce another CSV file with the same columns and with output of the pipeline in the save order as one of the datasets.…”
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Indirect Reciprocity and the Evolution of Prejudicial Groups
Published 2024“…<p>The data here presented support a framework for the evolution of prejudicial groups, adopting indirect reciprocity as the test scenario. …”