يعرض 21 - 27 نتائج من 27 نتيجة بحث عن 'modulate python framework', وقت الاستعلام: 0.11s تنقيح النتائج
  1. 21

    Multi-resolution simulations at the interface of biology and nanotechnology with ARBD حسب Christopher Maffeo (17069746)

    منشور في 2025
    "…In addition to work on the engine, we have developed ardbdmodel, a Python module that simplifies building, developing and simulating mesoscopic models.…"
  2. 22

    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. 23

    gpp-karst-opt حسب Hengyuan Liu (21015071)

    منشور في 2025
    "…<p dir="ltr">This repository provides a modular Python workflow for simulating regional-scale Gross Primary Productivity (GPP), integrating remote sensing and meteorological drivers. …"
  4. 24

    Automated Discovery of Semantic Attacks in Multi-Robot Navigation Systems - Research Artifacts حسب Doguhan Yeke (21498410)

    منشور في 2025
    "…</li></ul><h4><b>Attacks on GLAS:</b></h4><p><br></p><ul><li>Raven models the GLAS algorithm as a Python module to be used by the falsification framework.…"
  5. 25

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

    منشور في 2025
    "…<br>├── src/ # Main source code for the RealBench framework.<br>│ ├── crawler/ # GitHub repository crawling and filtering.…"
  6. 26

    Bayesian Inference on Brain-Computer Interfaces via GLASS حسب Bangyao Zhao (21222677)

    منشور في 2025
    "…For broader accessibility, we develop an efficient gradient-based variational inference (GBVI) algorithm for posterior computation and provide a user-friendly Python module available at <a href="https://github.com/BangyaoZhao/GLASS" target="_blank">https://github.com/BangyaoZhao/GLASS</a>.…"
  7. 27

    RLeapFROGS packaging slides حسب David Edge (20686139)

    منشور في 2025
    "…After you have completed these modules, you will be able to use Python and R more effectively for your research and publish all artifacts of your research according to FAIR principles.…"