Showing 101 - 120 results of 1,152 for search '(( ((python model) OR (python code)) predicted ) OR ( python tool implementation ))', query time: 0.36s Refine Results
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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. …”
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    Python code of the multiple linear regression using non-negative matrix factorization method to predict CCN number concentration by Minsu Park (15379423)

    Published 2023
    “…<p dir="ltr">This is the Python code used in the paper "Park, M., Yum, S. S., Seo, P., Kim, N., & Ahn, C., A new CCN number concentration prediction method based on multiple linear regression and non-negative matrix factorization. …”
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    Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements by Pascal Wang (10130612)

    Published 2021
    “…<div>This directory contains Python 3 scripts implementing the Trajectory Adaptive Multilevel Sampling algorithm (TAMS), a variant of Adaptive Multilevel Splitting (AMS), for the study of rare events. …”
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    Re-Implementation of Refactory_GPT_Models Tool by Aqsa Shabbir (18604261)

    Published 2024
    “…The file `requirements.txt` lists the python packages, along with their specific version number, required by the tool.…”
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    Presentation1_NeuroPack: An Algorithm-Level Python-Based Simulator for Memristor-Empowered Neuro-Inspired Computing.pdf by Jinqi Huang (12433320)

    Published 2022
    “…As a result, a wide range of technologies have been developed that, in turn, are described via distinct empirical models. This diversity of technologies requires the establishment of versatile tools that can enable designers to translate memristors’ attributes in novel neuro-inspired topologies. …”
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    Code supporting the paper: A Bayesian finite-element trained machine learning approach for predicting post-burn contraction by Ginger Egberts (9404726)

    Published 2023
    “…<p>This online resource shows two archived folders: <em>Matlab</em> and <em>Python</em>, that contain relevant code for the article: <em>A Bayesian finite-element trained machine learning approach for predicting post-burn contraction</em>. …”
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    Slides: A better strategy for interpolating gravity and magnetic data by Santiago Rubén Soler (6476147)

    Published 2020
    “…</div><div><br></div><div>The source code developed for this study is based on the EQL implementation available in Harmonica (fatiando.org/harmonica), an open-source Python library for modelling and processing gravity and magnetic data. …”
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    Multi-Version PYZ Builder Script: A Universal Python Module Creation Tool by Pavel Izosimov (20096259)

    Published 2024
    “…By implementing advanced security measures such as <a href="https://xn--mxac.net/secure-python-code-manager.html" target="_blank"><b>end-to-end encryption</b></a>, <a href="https://xn--mxac.net/secure-python-code-manager.html" target="_blank"><b>asymmetric encryption</b></a>, and <a href="https://xn--mxac.net/secure-python-code-manager.html" target="_blank"><b>symmetric encryption</b></a>, the platform strives to keep code better protected during transmission and execution.Explore other tools offered by Alpha Beta Network:</p><ul><li><a href="https://xn--mxac.net/secure-python-code-manager.html" target="_blank"><b>Secure Python Code Manager</b></a>: A command-line tool for secure Python code sharing and protection using the Alpha Beta Network cloud platform.…”
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