Showing 181 - 200 results of 287 for search '(( python code implementation ) OR ( python code presented ))', query time: 0.20s Refine Results
  1. 181

    <b>Anonymous, runnable artifact for </b><b>Testing AI Applications Under Nondeterminism, Drift, and Resource Constraints: A Problem‑Driven Multi‑Layer Approach</b> by Nariman Mani (21380459)

    Published 2025
    “…</b> The anonymized archive includes a dependency‑free Python implementation of all five layers (oracle, coverage, drift mapping, prioritization, resource scheduling), an orchestrator, and synthetic datasets with 50 test cases per sub‑application (LLM assistant, retrieval with citation, vision calories, notification/social). …”
  2. 182

    HCC Evaluation Dataset and Results by Jens-Rene Giesen (18461928)

    Published 2024
    “…The only requirement for running this script is a Python 3.6+ interpreter as well as an installation of the <code>numpy</code> package. …”
  3. 183

    Curvature-Adaptive Embedding of Geographic Knowledge Graphs in Hyperbolic Space by chenchen Guo (21327470)

    Published 2025
    “…</p><h3>Requirements</h3><ul><li>Python 3.7</li><li>PyTorch 1.10.0 & CUDA 11.8</li></ul><h3>Main Result Running commands:</h3><p dir="ltr">Execute <code>.sh: bash .…”
  4. 184

    Attention and Cognitive Workload by Rui Varandas (11900993)

    Published 2025
    “…</p><p dir="ltr">The data for subject 2 do not include the 2nd part of the acquisition (python task) because the equipment stopped acquiring; subject 3 has the 1st (N-Back task and mental subtraction) and the 2nd part (python tutorial) together in the <code>First part</code> folder (file <code>D1_S3_PB_description.json</code> indicates the start and end of each task); subject 4 only has the mental subtraction task in the 1st part acquisition and in subject 8, the subtraction task data is included in the 2nd part acquisition, along with python task.…”
  5. 185

    Global blue carbon losses from salt marshes exceed restoration gains by Yuhan Zheng (21610220)

    Published 2025
    “…<h4>This repository contains the main code used to generate the figures and results presented in the manuscript.…”
  6. 186

    <b>Beyond absolute space: Modeling disease dispersion and reactive actions from a multi-spatialization perspective</b> by Shiran Zhong (14518376)

    Published 2025
    “…</p><h3>Running the Code</h3><p dir="ltr">· To run the Python code (preferably in Jupyter Notebook), ensure that all dependencies are installed by running: <i>pip install pandas pgmpy</i>. …”
  7. 187

    Supplementary Materials for the article: ”Damped sectorial oscillations of an acoustically levitated droplet". by Taisiia Nagorskaia (22557095)

    Published 2025
    “…</li><li><b>Supplementary Video S3 (</b><i>S3_Video_Damped_oscillations.avi</i><b>):</b> High-speed footage of the damped oscillations used for the quantitative analysis presented in the paper.</li><li><b>Supplementary Code S4 (</b><i>S4_Code_Data_processing.ipynb</i><b>):</b> Python analysis code used for automated processing and for analyzing manually extracted data from the damped oscillations (S3).…”
  8. 188

    Olson et al Muscle spindles provide flexible sensory feedback for movement sequences by William Olson (21703679)

    Published 2025
    “…</li></ul><h4><b>Code</b></h4><p dir="ltr">Accompanying Python scripts and Jupyter notebooks are included for:</p><ul><li>Data preprocessing and formatting.…”
  9. 189

    Leveraging explainable causal artificial intelligence to study forest gross primary productivity dynamics in China's protected areas by Pedro Cabral (18947566)

    Published 2025
    “…<p dir="ltr">A Python script used for modeling forest GPP in China´s Protected Areas, including mean encoding of the categorical variable climate zone (CZ), multicollinearity testing using Variance Inflation Factor (VIF), implementation of four machine learning models to predict forest GPP, XAI and causality analysis.…”
  10. 190

    adnus by Mehmet Keçeci (14301782)

    Published 2025
    “…<p dir="ltr">adnus (AdNuS): Advanced Number Systems</p><p dir="ltr">adnus is a Python library that provides an implementation of various advanced number systems. …”
  11. 191

    Unfiltered TCR beta chain calls for 463 cancer samples and 587 control subjects by Yilong Li (20428445)

    Published 2025
    “…The columns are as follows.</p><ul><li><code>v_gene</code>: V gene of each TCR clonotype</li><li><code>j_gene</code>: J gene of each TCR clonotype</li><li><code>cdr3_nt</code>: Nucleotide sequence over the CDR3 region</li><li><code>cdr3</code>: Amino acid sequence over the CDR3 region</li><li><code>templates</code>: Number of UMIs supporting the clonotype</li><li><code>sample_name</code>: Sample that the clonotype derived from.…”
  12. 192

    Missing Value Imputation in Relational Data Using Variational Inference by Simon Fontaine (7046618)

    Published 2025
    “…Additional results, implementation details, a Python implementation, and the code reproducing the results are available online. …”
  13. 193

    Supplementary material for "Euler inversion: Locating sources of potential-field data through inversion of Euler's homogeneity equation" by Leonardo Uieda (97471)

    Published 2025
    “…<p dir="ltr">This repository contains the data and source code used to produce the results presented in:</p><blockquote><p dir="ltr">Uieda, L., Souza-Junior, G. …”
  14. 194

    Spotted owl habitat quality maps and disturbance attribution analysis by Josh Barry (7573823)

    Published 2025
    “…<p dir="ltr">This dataset includes annual spatial maps of spotted owl nesting habitat quality in Southern California and an accompanying ArcPython script used to attribute negative annual habitat change to wildfire (Barry et al., 2025). …”
  15. 195

    Supplementary Material for review (<b>Revealing the co-occurrence patterns of public emotions from social media data</b>) by Yang Hua (21399140)

    Published 2025
    “…</p><p dir="ltr">This document provides a detailed explanation of how to reproduce all experimental results, figures and tables presented in the paper, and the key indicators in the abstract by using the shared datasets and source code. …”
  16. 196

    Leveraging Large Language Models as Requirements Elicitation Interview Bots-all data by Samuel Gorsch (19947618)

    Published 2024
    “…<p dir="ltr"><b>Title:</b> Code and Supplementary Files for "Leveraging Large Language Models as Requirements Elicitation Interview Bots"</p><p dir="ltr"><b>Description:</b><br>This repository contains all code, supplementary plots, and select data files used in the master’s thesis, "Leveraging Large Language Models (LLMs) as Requirements Elicitation Interview Bots." …”
  17. 197

    kececilayout by Mehmet Keçeci (14301782)

    Published 2025
    “…<p dir="ltr"><b>Kececi Layout (Keçeci Yerleşimi)</b>: A deterministic graph layout algorithm designed for visualizing linear or sequential structures with a characteristic "zig-zag" or "serpentine" pattern.</p><p dir="ltr"><i>Python implementation of the Keçeci layout algorithm for graph visualization.…”
  18. 198

    Data and software for "Social networks affect redistribution decisions and polarization" by Milena Tsvetkova (11217969)

    Published 2025
    “…</p><p dir="ltr">The repository contains data in .csv and .xlsx format, model code in .nlogox Netlogo format, analysis code in .ipynb Jupyter notebooks, and helping code in .py Python files.…”
  19. 199

    Data for "Are pseudo first-order kinetic constants properly calculated for catalytic membranes?" by Timothy Warner (20222838)

    Published 2025
    “…</li></ul><h4>Licence:</h4><ul><li>The licence agreement for use of the codes and data.</li></ul><h4>meta-analysis:</h4><ul><li>The python script for generating the meta-analysis figures and histogram figures.…”
  20. 200

    The artifacts and data for the paper "DD4AV: Detecting Atomicity Violations in Interrupt-Driven Programs with Guided Concolic Execution and Filtering" (OOPSLA 2025) by zixuan yuan (17602152)

    Published 2025
    “…</li><li><ul><li><code><strong>DBDS</strong></code>: The code implements our proposed dynamic scheduling execution method, which systematically explores task interleaving for atomicity violation detection, enhanced by an effective prefix-directed strategy.…”