يعرض 241 - 260 نتائج من 294 نتيجة بحث عن '(( ((python model) OR (python code)) implementation ) OR ( python files implementation ))', وقت الاستعلام: 0.55s تنقيح النتائج
  1. 241

    IGD-cyberbullying-detection-AI حسب Bryan James (19921044)

    منشور في 2024
    "…</p><h2>Requirements</h2><p dir="ltr">To run this code, you'll need the following dependencies:</p><ul><li>Python 3.x</li><li>TensorFlow</li><li>scikit-learn</li><li>pandas</li><li>numpy</li><li>matplotlib</li><li>imbalanced-learn</li></ul><p dir="ltr">You can install the required dependencies using the provided <code>requirements.txt</code> file.…"
  2. 242

    World Heritage documents reveal persistent gaps between climate awareness and local action حسب Yang Chen (20756166)

    منشور في 2025
    "…The analysis section includes a GLM model implemented in R, along with evaluation tools such as correlation heatmaps, ICC agreement analysis, and MCC-based binary classification assessment. …"
  3. 243

    Automatic data reduction for the typical astronomer حسب Bradford Holden (21789524)

    منشور في 2025
    "…PypeIt has been developed by a small team of astronomers with two leading philosophies: (1) build instrument-agnostic code to serve nearly any spectrograph; (2) implement algorithms that achieve Poisson-level sky-subtraction with minimal systematics to yield precisely calibrated spectra with a meaningful noise model. …"
  4. 244

    Genomic Surveillance of Pemivibart (VYD2311) Escape-Associated Mutations in SARS-CoV-2: December 2025 BioSamples (n=2) حسب Tahir Bhatti (20961974)

    منشور في 2025
    "…Full source code and version details are available upon request.…"
  5. 245

    Supplement Number 1 حسب Susama Agarwala (21628328)

    منشور في 2025
    "…Python files containing the implementation of the graphical calculus on generalized Wilson loop diagrams…"
  6. 246

    Online Resource: Reservoir Computing as a Promising Approach for False Data Injection Attack Detection in Smart Grids حسب Carl-Hendrik Peters (21530624)

    منشور في 2025
    "…</li><li><b>3_literature_analysis_and_mapping.ipynb</b><br>Contains the Python code used for executing the systematic mapping study (SMS), including automated processing of literature data and thematic clustering.…"
  7. 247

    Supervised Classification of Burned Areas Using Spectral Reflectance and Machine Learning حسب Baptista Boanha (22424668)

    منشور في 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. …"
  8. 248

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

    منشور في 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). …"
  9. 249

    OHID-FF dataset for forest fire detection and classification حسب xin chen (20496938)

    منشور في 2025
    "…</p><p dir="ltr"><br></p><p dir="ltr">- train val scripts/ </p><p dir="ltr"> Classification experiments and training scripts for fire/non-fire models (see the folder README for usage details).</p><p dir="ltr"><br></p><p dir="ltr">- Split_dataset.ipynb </p><p dir="ltr"> Notebook to create train/val/test splits and produce file_list.csv.…"
  10. 250

    Void-Center Galaxies and the Gravity of Probability Framework: Pre-DESI Consistency with VGS 12 and NGC 6789 حسب Jordan Waters (21620558)

    منشور في 2025
    "…<br><br><br><b>ORCID ID: https://orcid.org/0009-0009-0793-8089</b><br></p><p dir="ltr"><b>Code Availability:</b></p><p dir="ltr"><b>All Python tools used for GoP simulations and predictions are available at:</b></p><p dir="ltr"><b>https://github.com/Jwaters290/GoP-Probabilistic-Curvature</b><br><br>The Gravity of Probability framework is implemented in this public Python codebase that reproduces all published GoP predictions from preexisting DESI data, using a single fixed set of global parameters. …"
  11. 251

    adnus حسب Mehmet Keçeci (14301782)

    منشور في 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. …"
  12. 252

    Deep Learning-Based Visual Enhancement and Real-Time Underground-Mine Water Inflow Detection حسب Huichao Yin (14589020)

    منشور في 2025
    "…<p dir="ltr">Python image preprocessing and model implementation for research of "Deep Learning-Based Visual Enhancement and Real-Time Underground-Mine Water Inflow Detection".…"
  13. 253

    kececilayout حسب Mehmet Keçeci (14301782)

    منشور في 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.…"
  14. 254

    RabbitSketch حسب tong zhang (20852432)

    منشور في 2025
    "…RabbitSketch achieves significant speedups compared to existing implementations, ranging from 2.30x to 49.55x.In addition, we provide flexible and easy-to-use interfaces for both Python and C++. …"
  15. 255

    Supplementary Material حسب Aris Shahbazian (22464325)

    منشور في 2025
    "…The supplementary material includes the full Python-based implementation of the AI-driven optimization framework described in the manuscript. …"
  16. 256

    <b>Testing AI Applications Under Nondeterminism, Drift, and Resource Constraints</b> حسب Nariman Mani (21380459)

    منشور في 2025
    "…<ul><li>A <b>Python repo</b> with minimal implementations of all five layers<br>(<b>COL</b>, <b>SCL</b>, <b>CDM</b>, <b>RPE</b>, <b>RAS</b>) plus an <b>orchestrator</b> and utilities.…"
  17. 257

    Dataset for: Phylotranscriptomics reveals the phylogeny of Asparagales and the evolution of allium flavor biosynthesis, Nature Communications,DOI:10.1038/s41467-024-53943-6 حسب Xiao-Xiao Wang (2447920)

    منشور في 2024
    "…Convert the aligned homolog groups from fasta format to phylip format using <i>phylpwrtr.py </i>(this script was deposited on this website).</p><p dir="ltr"><i>python /path_DISCO/phylpwrtr.py input.fa output.fa max_number_allowed_in_sequence_head</i></p><p dir="ltr"><i>python ca_disco.py -i a_text_file_includes_all_homolog_trees -o output.phy -a a_text_file_includes_the_path_of_aligned_homologs -t a_list_file_includes_names_of_the_501_samples -m min_number_of_taxon_allowed_for_each_ortholog</i></p><p dir="ltr">a_text_file_includes_all_homolog_trees: each line of this file include one homolog tree.…"
  18. 258

    Supplementary Data: Biodiversity and Energy System Planning - Queensland 2025 حسب Andrew Rogers (17623239)

    منشور في 2025
    "…</p><h2>Software and Spatial Resolution</h2><p dir="ltr">The VRE siting model is implemented using Python and relies heavily on ArcGIS for comprehensive spatial data handling and analysis.…"
  19. 259

    Bayesian Changepoint Detection via Logistic Regression and the Topological Analysis of Image Series حسب Andrew M. Thomas (712104)

    منشور في 2025
    "…The method also successfully recovers the location and nature of changes in more traditional changepoint tasks. An implementation of our method is available in the Python package bclr.…"
  20. 260

    Concurrent spin squeezing and field tracking with machine learning حسب Junlei Duan (18393642)

    منشور في 2025
    "…<p dir="ltr">The dataset contains:</p><ol><li>Steady_squeezing.zip <b>a)</b> data for steady squeezing data and characteraztion <b>b)</b> data for pulse RF magnetormeter</li><li>Tracking1.zip <b>a)</b> data of OU process for Deep learning <b>b)</b> data of OU-jump process for Deep learning</li><li>Tracking2.zip <b>a)</b> data of white noise process in backaction experiment <b>b) </b>data of white noise process in rearrange experiment</li><li>Code <b>a)</b> Randomly signal generating code <b>b)</b> Deep learning codec.data pre-processing code</li></ol><p dir="ltr">The network is implemented using the torch 1.13.1 framework and CUDA 11.6 on Python 3.8.8. …"