SCADET algorithm parameter configuration (Python implementation). by Xiaolong Zhang (470454)

“…<p>SCADET algorithm parameter configuration (Python implementation).</p>…”

Python code for estimating parameters of an ALAAM model. by Alex Stivala (8356257)

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Example change statistic implementations. by Alex Stivala (8356257)

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Python sript. by Kan Jia (6438599)

Python file of the computational framework. by Benoit Haut (9753029)

Models estimated using ALAAMEE for the Deezer networks, with liking jazz as the outcome variable. by Alex Stivala (8356257)

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Configurations used in ALAAMs for undirected networks. by Alex Stivala (8356257)

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Type II error rate from estimation of simulated outcomes using the EE algorithm. by Alex Stivala (8356257)

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Comparison of MPNet and ALAAMEE software for ALAAM estimation. by Alex Stivala (8356257)

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ALAAM models for the Deezer networks, with liking “alternative” music as the outcome variable. by Alex Stivala (8356257)

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Configurations used in ALAAMs for directed networks. by Alex Stivala (8356257)

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Type I error rate from estimation of simulated outcomes using the EE algorithm. by Alex Stivala (8356257)

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Example ALAAMEE output. by Alex Stivala (8356257)

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Type II error rate as the number of runs used for each sample is varied. by Alex Stivala (8356257)

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Parameter estimates and estimated standard errors from the EE algorithm. by Alex Stivala (8356257)

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Network descriptive statistics for the Deezer networks. by Alex Stivala (8356257)

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Example ALAAMEE goodness-of-fit output. by Alex Stivala (8356257)

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Python Implementation of HSGAdviser Chatbot: AI model for Sustainable Education by Suha Assayed (22454038)

“…<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. …”

Comparison of performance between our next reaction implementation and the Python library from Ref. [3]. by Samuel Cure (22250922)

“…<p>We simulate SIR epidemic processes on Watts-Strogatz networks with parameters <i>k</i>₀ = 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. …”

Comprehensive Analysis of Key Probability Distributions in Data Science: Applications, Mathematical Formulations, and Python Implementation by Rasikh Tariq (17117866)

“…Comprehensive Analysis of Key Probability Distributions in Data Science: Applications, Mathematical Formulations, and Python Implementation. Open Educational Resource for the Data Analytics and Artificial Intelligence II course. …”