يعرض 241 - 260 نتائج من 265 نتيجة بحث عن '(( python time implementation ) OR ( ((python model) OR (python tool)) implementing ))', وقت الاستعلام: 0.43s تنقيح النتائج
  1. 241

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

    منشور في 2025
    "…/CAH-GKGE/model/supplementary instruction.md </p>…"
  2. 242

    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. …"
  3. 243

    NanoDB: Research Activity Data Management System حسب Lorenci Gjurgjaj (19702207)

    منشور في 2024
    "…Cross-Platform Compatibility: Works on Windows, macOS, and Linux. In a Python environment or as an executable. Ease of Implementation: Using the flexibility of the Python framework all the data setup and algorithm can me modified and new functions can be easily added. …"
  4. 244

    A Hybrid Ensemble-Based Parallel Learning Framework for Multi-Omics Data Integration and Cancer Subtype Classification حسب Mohammed Nasser Al-Andoli (21431681)

    منشور في 2025
    "…<p dir="ltr">The code supports replication of results on TCGA Pan-cancer and BRCA datasets and includes data preprocessing, model training, and evaluation scripts:<br>Python scripts for data preprocessing and integration</p><ul><li>Autoencoder implementation for multimodal feature learning</li><li>Hybrid ensemble training code (DL/ML models and meta-learner)</li><li>PSO and backpropagation hybrid optimization code</li><li>Parallel execution scripts</li><li>Instructions for replicating results on TCGA Pan-cancer and BRCA datasets</li></ul><p></p>…"
  5. 245

    RealBench: A Repo-Level Code Generation Benchmark Aligned with Real-World Software Development Practices حسب RealBench RealBench (22275393)

    منشور في 2025
    "…<br>│ │ └── uml_dag.py # UML dependency graph analysis.<br>│ ├── model_gen/ # Code generation using various LLMs.<br>│ │ ├── generate/ # LLM inference implementations.…"
  6. 246

    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. …"
  7. 247

    Evaluation and Statistical Analysis Code for "Multi-Task Learning for Joint Fisheye Compression and Perception for Autonomous Driving" حسب Basem Ahmed (18127861)

    منشور في 2025
    "…</li></ul><p dir="ltr">These scripts are implemented in Python using the PyTorch framework and are provided to ensure the reproducibility of the experimental results presented in the manuscript.…"
  8. 248

    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.…"
  9. 249

    Copy number contingency table. حسب Yang Wu (66682)

    منشور في 2025
    "…Our methods are implemented in Python and are freely available from GitHub (<a href="https://github.com/queryang/PASO" target="_blank">https://github.com/queryang/PASO</a>).…"
  10. 250

    Gene mutation contingency table. حسب Yang Wu (66682)

    منشور في 2025
    "…Our methods are implemented in Python and are freely available from GitHub (<a href="https://github.com/queryang/PASO" target="_blank">https://github.com/queryang/PASO</a>).…"
  11. 251

    Resistant & sensitive cell line Info on AZD5991. حسب Yang Wu (66682)

    منشور في 2025
    "…Our methods are implemented in Python and are freely available from GitHub (<a href="https://github.com/queryang/PASO" target="_blank">https://github.com/queryang/PASO</a>).…"
  12. 252

    Resistant & sensitive drug info on COLO800. حسب Yang Wu (66682)

    منشور في 2025
    "…Our methods are implemented in Python and are freely available from GitHub (<a href="https://github.com/queryang/PASO" target="_blank">https://github.com/queryang/PASO</a>).…"
  13. 253

    Methodological Approach Based on Structural Parameters, Vibrational Frequencies, and MMFF94 Bond Charge Increments for Platinum-Based Compounds حسب Gloria Castañeda-Valencia (20758502)

    منشور في 2025
    "…The developed bci optimization tool, based on MMFF94, was implemented using a Python code made available at https://github.com/molmodcs/bci_solver. …"
  14. 254

    Data from: Circadian activity predicts breeding phenology in the Asian burying beetle <i>Nicrophorus nepalensis</i> حسب Hao Chen (20313552)

    منشور في 2025
    "…</p><p dir="ltr">The dataset includes:</p><ol><li>Raw locomotor activity measurements (.txt files) with 1-minute resolution</li><li>Breeding experiment data (Pair_breeding.csv) documenting nest IDs, population sources, photoperiod treatments, and breeding success</li><li>Activity measurement metadata (Loc_metadataset.csv) containing detailed experimental parameters and daily activity metrics extracted using tsfresh</li></ol><p dir="ltr">The repository also includes complete analysis pipelines implemented in both Python (3.8.8) and R (4.3.1), featuring:</p><ul><li>Data preprocessing and machine learning model development</li><li>Statistical analyses</li><li>Visualization scripts for generating Shapley plots, activity pattern plots, and other figures</li></ul><p></p>…"
  15. 255

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

    منشور في 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.…"
  16. 256

    Knowledge Graph validation using SHACL Shapes حسب Ángel Iglesias Préstamo (19745767)

    منشور في 2024
    "…Leveraging Rust’s performance and safety features, rudof provides efficient validation tools and Python bindings for integration with data science workflows. …"
  17. 257

    Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things حسب Ashok Kumar K (21441108)

    منشور في 2025
    "…The proposed DIDS-BRBPNN-BBWOA-IoT method is implemented using Python. The performance of the DIDS-BRBPNN-BBWOA-IoT approach is examined using performance metrics like accuracy, precision, recall, f1-score, specificity, error rate; computation time, and ROC. …"
  18. 258

    Table 1_Analysis of distribution equilibrium and influencing factors for older adult meal service facilities in mainland China.xlsx حسب Feng Wang (44414)

    منشور في 2025
    "…A multiple linear regression model was applied to explore the relationships between older adult meal services and factors such as population, economy, infrastructure, geography, and policies.…"
  19. 259

    Data and code for: Automatic fish scale analysis حسب Christian Vogelmann (21646472)

    منشور في 2025
    "…<p dir="ltr">This dataset accompanies the publication:<br><b>"Automatic fish scale analysis: age determination, annuli and circuli detection, length and weight back-calculation of coregonid scales"</b><br></p><p dir="ltr">It provides all essential data and statistical outputs used for the <b>verification and validation</b> of the <i>Coregon Analyzer</i> – a Python-based algorithm for automated biometric fish scale measurement.…"
  20. 260

    MATH_code : False Data Injection Attack Detection in Smart Grids based on Reservoir Computing حسب Carl-Hendrik Peters (21530624)

    منشور في 2025
    "…</li><li><b>4_final_models_pipeline.ipynb</b><br>The final implementation pipeline that loads the data, applies preprocessing and encoding (e.g., latency or ISI), trains the detection models, and stores performance metrics.…"