Showing 141 - 160 results of 425 for search '(( python rich implementation ) OR ( python code implementing ))', query time: 0.28s Refine Results
  1. 141

    Fig 2 - by László Bántay (18530067)

    Published 2024
    Subjects:
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    Collision Efficiency Parameter Influence on Pressure-Dependent Rate Constant Calculations Using the SS-QRRK Theory by E. Grajales-González (6083633)

    Published 2020
    “…To overcome this underestimation problem, we evaluated and implemented in a bespoke Python code two alternative definitions for the collision efficiency using the SS-QRRK theory and tested their performance by comparing the pressure-dependent rate constants with the Rice–Ramsperger–Kassel–Marcus/Master Equation (RRKM/ME) results. …”
  4. 144

    Collision Efficiency Parameter Influence on Pressure-Dependent Rate Constant Calculations Using the SS-QRRK Theory by E. Grajales-González (6083633)

    Published 2020
    “…To overcome this underestimation problem, we evaluated and implemented in a bespoke Python code two alternative definitions for the collision efficiency using the SS-QRRK theory and tested their performance by comparing the pressure-dependent rate constants with the Rice–Ramsperger–Kassel–Marcus/Master Equation (RRKM/ME) results. …”
  5. 145

    GraSPy: an Open Source Python Package for Statistical Connectomics by Benjamin Pedigo (6580352)

    Published 2019
    “…We developed GraSPy, an open-source Python toolkit for statistical inference on graphs. …”
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    BSTPP: a python package for Bayesian spatiotemporal point processes by Isaac Manring (20705955)

    Published 2025
    “…However, they are sometimes neglected due to the difficulty of implementing them. There is a lack of packages with the ability to perform inference for these models, particularly in python. …”
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    Poster: PyGMT: Accessing the Generic Mapping Tools from Python by Leonardo Uieda (97471)

    Published 2019
    “…We are using this bridge to develop PyGMT (<a href="http://www.pygmt.org/" rel="nofollow">www.pygmt.org</a>; formerly GMT/Python), an open-source library that allows users of the Python programming language to leverage the almost thirty years of continuous GMT development. …”
  10. 150

    PyLandStats: An open-source Pythonic library to compute landscape metrics by Martí Bosch (8087852)

    Published 2019
    “…The PyLandStats package provides a set of methods to quantify landscape patterns, such as the analysis of the spatiotemporal patterns of land use/land cover change or zonal analysis. The implementation is based on the prevailing Python libraries for geospatial data analysis in a way that they can be forthwith integrated into complex computational workflows. …”
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    Python and sql scripts to disaggregate annual emissions into high time resolution data by Greet J. Maenhout (8121812)

    Published 2020
    “…The file named 'Python_sql_codes_to_implement_temp_profiles.zip' contains the Python codes and some sql scripts used to apply temporal profiles to disaggregate EDGAR annual emissions into higher time resolution data. …”
  13. 153

    Re-Implementation of Refactory Tool by Aqsa Shabbir (18604261)

    Published 2024
    “…<p dir="ltr"><b># cs539-final-project</b><br><br><b>Re-implementation of Refactory: ReFactoring_Based_Program_Repair_Applied_to_Programming_Assignments**</b><br><br>This repository contains the replication package of re-implementation of Refactory: ReFactoring_Based_Program_Repair_Applied_to_Programming_Assignments tool on Existing and New Benchmark that are Refactory and IBM CodeNet dataset respectively.…”
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    DataSheet1_OSAFT Library: An Open-Source Python Library for Acoustofluidics.zip by Jonas Fankhauser (12895304)

    Published 2022
    “…The Python code provides easy access to a number of theories describing acoustic scattering, acoustic streaming, and most importantly the acoustic radiation force exerted on the particle. …”
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    Supporting data for "Interpreting complex ecological patterns and processes across differentscales using Artificial Intelligence" by Yifei Gu (9507104)

    Published 2025
    “…<p dir="ltr">This thesis bridges the gap between field observations and the empirical understanding of ecological systems by applying AI models at different spatial scales and hierarchical levels to study ecological complexity. The detailed implementation, source code and demo dataset are included in dedicated folders for each chapter.…”
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