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files presented » cells presented (Expand Search), file presents (Expand Search), side presented (Expand Search)
code presented » model presented (Expand Search), side presented (Expand Search), order presented (Expand Search)
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61
E-EVAL experimental results.
Published 2025“…<div><p>This paper presents a novel approach to enhancing educational question-answering (Q&A) systems by combining Retrieval-Augmented Generation (RAG) with Large Language Model (LLM) Code Interpreters. …”
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62
TQA Accuracy Comparison Chart on different LLM.
Published 2025“…<div><p>This paper presents a novel approach to enhancing educational question-answering (Q&A) systems by combining Retrieval-Augmented Generation (RAG) with Large Language Model (LLM) Code Interpreters. …”
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63
ScienceQA experimental results.
Published 2025“…<div><p>This paper presents a novel approach to enhancing educational question-answering (Q&A) systems by combining Retrieval-Augmented Generation (RAG) with Large Language Model (LLM) Code Interpreters. …”
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ThermoPred: AI-Enhanced Quantum Chemistry Data Set and ML Toolkit for Thermochemical Properties of API-Like Compounds and Their Degradants
Published 2025“…All data sets, models and source code are freely available to support reproducibility and foster community-driven development.…”
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67
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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Supplemental code
Published 2024“…Python code to perform many of the calculations presented in the manuscript…”
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Mechanomics Code - JVT
Published 2025“…</p><p dir="ltr"><b>What is containing this repository</b></p><p dir="ltr">Data, MATLAB, R and Python code files in respective dedicated folders, specifically:</p><ul><li>Data: the 9 datasets that you need to run either of the MATLAB, R or Python scripts.…”
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71
Deakin IoT Traffic Dataset
Published 2025“…Raw pcap files (<b>pcapFull</b>) are also provided, which contain traffic from 36 non-IoT devices present in the network. …”
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Code used to run simulations and generate figures.
Published 2025“…<p>The archive contains the Python code to reproduce simulations presented in this paper. …”
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Catalogue of compact radio sources in Messier-82 from e-MERLIN observations
Published 2025“…Source finding was initially performed using Python Blob Detection and Source Finder (PyBDSF).</p><p dir="ltr">The dataset includes two tables detailing the properties of these 36 sources:</p><p dir="ltr"><b>Table 3.1: CASA </b><code><strong>imfit</strong></code><b> Source Catalogue</b></p><p dir="ltr">This table contains source parameters derived using the CASA task <code>imfit</code>. …”
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py-rocket: A Docker image to promote cross-language (Python, R) collaboration across diverse user platforms for cloud computing in the earth sciences
Published 2025“…</p><p><br></p><p dir="ltr">A sturdy Docker stack relies on a solid base image. Here we present work on the py-rocket base image and illustrate how this enhances collaboration while providing familiar IDEs and environments to both R and Python users. …”
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Code and data for reproducing the results in the original paper of DML-Geo
Published 2025“…<p dir="ltr">This asset provides all the code and data for reproducing the results (figures and statistics) in the original paper of DML-Geo</p><h2>Main Files:</h2><p dir="ltr"><b>main.ipynb</b>: the main notebook to generate all the figures and data presented in the paper</p><p dir="ltr"><b>data_generator.py</b>: used for generating synthetic datasets to validate the performance of different models</p><p dir="ltr"><b>dml_models.py</b>: Contains implementations of different Double Machine Learning variants used in this study.…”
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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>. …”