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from implementing » after implementing (Expand Search), _ implementing (Expand Search)
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Python implementation of a wildfire propagation example using m:n-CAk over Z and R.
Published 2025“…</p><p dir="ltr"><br></p><p dir="ltr">## Files in the Project</p><p dir="ltr"><br></p><p dir="ltr">### Python Scripts</p><p dir="ltr">- **Wildfire_on_m_n-CAk.py**: This file contains the main code for the fire cellular automaton. …”
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Multi-Version PYZ Builder Script: A Universal Python Module Creation Tool
Published 2024“…</li><li><b>Python App Bundle Shield</b>: Enables the creation of standalone protected applications and executable files from Python scripts. …”
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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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Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements
Published 2021“…<div>This directory contains Python 3 scripts implementing the Trajectory Adaptive Multilevel Sampling algorithm (TAMS), a variant of Adaptive Multilevel Splitting (AMS), for the study of rare events. …”
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Python code and Excel data for machine learning integrated life cycle sustainability analysis of pyrolysis and hydrothermal carbonization of animal manure
Published 2023“…<p dir="ltr">The Python code comprises of a framework that integrated machine learning (ML) methods with life cycle sustainability analysis of implementing emerging technologies to recover valuable resources from organic waste streams. …”
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Building a Federated Data Catalog with Client Implementations - Meeting Data Where It is
Published 2023“…</p> <p>This combination of a <strong>auto-refreshing</strong> catalog paired with <strong>multi language implementations</strong> (R and Python), allowed the catalog to grow its data holdings from 11 to over 2,000 data providers and share the catalog as JSON and parquet files from a <em>github.io</em> page. …”
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Table_1_An application programming interface implementing Bayesian approaches for evaluating effect of time-varying treatment with R and Python.pdf
Published 2023“…The examples demonstrate the use of the API calling from R and Python, for handling both non-adaptive or adaptive treatments, with presences of partially observed or missing data issues. …”
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Tools used in implementing the RNN models.
Published 2024“…Additionally, these studies frequently utilized datasets extracted from open-source systems coded in Java and C programming languages. …”
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Example change statistic implementations.
Published 2024“…ALAAMEE implements both the stochastic approximation and equilibrium expectation (EE) algorithms for ALAAM parameter estimation, including estimation from snowball sampled network data. …”
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