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Showing 1 - 20 results of 640 for search '(( python tool implementation ) OR ( python model represents ))', query time: 0.26s Refine Results
  1. 1
    Comparison of performance between our next reaction implementation and the Python library from Ref. [3].

    Comparison of performance between our next reaction implementation and the Python library from Ref. [3]. by Samuel Cure (22250922)

    Published 2025
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  2. 2
    Schematic example of multiscale modelling implementation.

    Schematic example of multiscale modelling implementation. by Robyn M. Stuart (3754000)

    Published 2024
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  3. 3
    Tools used in implementing the RNN models.

    Tools used in implementing the RNN models. by Fahmi H. Quradaa (17896527)

    Published 2024
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  4. 4
    GraSPy: an Open Source Python Package for Statistical Connectomics

    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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  5. 5
    Overview of the implemented simulation tool and training framework in Diffrax.

    Overview of the implemented simulation tool and training framework in Diffrax. by Paul van Lent (16876977)

    Published 2025
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  6. 6
    Python script of the PREDICATE tool written in a Jupyter Notebook format.

    Python script of the PREDICATE tool written in a Jupyter Notebook format. by Nantia Leonidou (14833068)

    Published 2023
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  7. 7
    Analysis of the selected studies in terms of tools used for implementing RNN models.

    Analysis of the selected studies in terms of tools used for implementing RNN models. by Fahmi H. Quradaa (17896527)

    Published 2024
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  8. 8
    Secure Python Code Manager: A Tool for Protected Python Code Distribution and Management

    Secure Python Code Manager: A Tool for Protected Python Code Distribution and Management by Pavel Izosimov (20096259)

    Published 2024
    “…</li><li><b>Commercial Distribution</b>: Safely share Python code with clients or customers, implementing advanced <b>Python code protection tools</b> for sales or rentals.…”
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  9. 9
    Python code.

    Python code. by Kapil Newar (6533048)

    Published 2022
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  10. 10
    Accuracy of the segmentation model.

    Accuracy of the segmentation model. by Owen M. O’Connor (11965460)

    Published 2022
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  11. 11
    Implementations benchmark.

    Implementations benchmark. by Serena Aneli (17002149)

    Published 2023
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  12. 12
    Reducing the size of the model to increase speed.

    Reducing the size of the model to increase speed. by Owen M. O’Connor (11965460)

    Published 2022
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  13. 13
    Re-Implementation of Refactory Tool

    Re-Implementation of Refactory 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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  14. 14
    Python Implementation of HSGAdviser Chatbot: AI model for Sustainable Education

    Python Implementation of HSGAdviser Chatbot: AI model for Sustainable Education by Suha Assayed (22454038)

    Published 2025
    “…<p dir="ltr">This repository contains the Python source code and model implementation for HSGAdviser, an AI speech assistant designed to provide personalized college and career guidance for high school students through conversational AI. …”
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  15. 15
    Training the model on segmentation with custom weight maps.

    Training the model on segmentation with custom weight maps. by Owen M. O’Connor (11965460)

    Published 2022
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  16. 16
    Impact of frame shifts on tracking model performance.

    Impact of frame shifts on tracking model performance. by Owen M. O’Connor (11965460)

    Published 2022
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  17. 17
    Utilizing variable background weight maps for training the model on debris.

    Utilizing variable background weight maps for training the model on debris. by Owen M. O’Connor (11965460)

    Published 2022
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  18. 18
    Loss history of segmentation model trained over 600 epochs.

    Loss history of segmentation model trained over 600 epochs. by Owen M. O’Connor (11965460)

    Published 2022
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  19. 19
    Low- and high-level subspace noise for the reverse-correlation of visual and audio stimuli.

    Low- and high-level subspace noise for the reverse-correlation of visual and audio stimuli. by Juan José Burred (6555578)

    Published 2019
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  20. 20
    Schematic showing how the tracking model uses the inputs to make predictions.

    Schematic showing how the tracking model uses the inputs to make predictions. by Owen M. O’Connor (11965460)

    Published 2022
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