Showing 81 - 100 results of 132 for search '(( python tool implementing ) OR ( python code implementation ))~', query time: 0.42s Refine Results
  1. 81

    Parallel scalable simulations of biological neural networks using TensorFlow: A beginner's guide by Rishika Mohanta (7327013)

    Published 2022
    “…TensorFlow is a Python-based open-source package designed for machine learning algorithms. …”
  2. 82

    DataSheet1_MATLAB Implementation of Physics Informed Deep Neural Networks for Forward and Inverse Structural Vibration Problems.PDF by Tanmoy Chatterjee (9968759)

    Published 2024
    “…<p>In this work, we illustrate the implementation of physics informed neural networks (PINNs) for solving forward and inverse problems in structural vibration. …”
  3. 83

    Data_Sheet_1_A Library for fMRI Real-Time Processing Systems in Python (RTPSpy) With Comprehensive Online Noise Reduction, Fast and Accurate Anatomical Image Processing, and Online... by Masaya Misaki (521986)

    Published 2022
    “…However, the adaption of rtfMRI has been limited due to technical difficulties in implementing an efficient computational framework. Here, we introduce a python library for real-time fMRI (rtfMRI) data processing systems, Real-Time Processing System in python (RTPSpy), to provide building blocks for a custom rtfMRI application with extensive and advanced functionalities. …”
  4. 84

    The format of the electrode csv file by Joseph James Tharayil (21416715)

    Published 2025
    “…To enable efficient calculation of extracellular signals from large neural network simulations, we have developed <i>BlueRecording</i>, a pipeline consisting of standalone Python code, along with extensions to the Neurodamus simulation control application, the CoreNEURON computation engine, and the SONATA data format, to permit online calculation of such signals. …”
  5. 85

    The format of the simulation reports by Joseph James Tharayil (21416715)

    Published 2025
    “…To enable efficient calculation of extracellular signals from large neural network simulations, we have developed <i>BlueRecording</i>, a pipeline consisting of standalone Python code, along with extensions to the Neurodamus simulation control application, the CoreNEURON computation engine, and the SONATA data format, to permit online calculation of such signals. …”
  6. 86

    The format of the weights file by Joseph James Tharayil (21416715)

    Published 2025
    “…To enable efficient calculation of extracellular signals from large neural network simulations, we have developed <i>BlueRecording</i>, a pipeline consisting of standalone Python code, along with extensions to the Neurodamus simulation control application, the CoreNEURON computation engine, and the SONATA data format, to permit online calculation of such signals. …”
  7. 87

    Data_Sheet_1_Accelerating spiking neural network simulations with PymoNNto and PymoNNtorch.pdf by Marius Vieth (17994643)

    Published 2024
    “…Among these, PymoNNto is a recent Python-based toolbox for spiking neural network simulations that emphasizes the embedding of custom code in a modular and flexible way. …”
  8. 88

    HUHgle: An Interactive Substrate Design Tool for Covalent Protein-ssDNA Labeling Using HUH-Tags by Adam T. Smiley (8968567)

    Published 2024
    “…In order to maximize the accessibility and utility of HUHgle, we have implemented it as a user-friendly Google Colab notebook which facilitates broad use of this tool, regardless of coding expertise.…”
  9. 89

    HUHgle: An Interactive Substrate Design Tool for Covalent Protein-ssDNA Labeling Using HUH-Tags by Adam T. Smiley (8968567)

    Published 2024
    “…In order to maximize the accessibility and utility of HUHgle, we have implemented it as a user-friendly Google Colab notebook which facilitates broad use of this tool, regardless of coding expertise.…”
  10. 90

    DataSheet1_Quantitative analysis of surface wave patterns of Min proteins.pdf by Sabrina Meindlhumer (13191918)

    Published 2022
    “…We provide descriptions on how to practically implement these quantification tools and provide Python code that can directly be used to perform analysis of Min patterns.…”
  11. 91
  12. 92

    DeepFrag: An Open-Source Browser App for Deep-Learning Lead Optimization by Harrison Green (10866353)

    Published 2021
    “…Though a powerful hypothesis-generating tool, DeepFrag is currently implemented in Python and so requires a certain degree of computational expertise. …”
  13. 93

    High-Throughput Mass Spectral Library Searching of Small Molecules in R with NIST MSPepSearch by Andrey Samokhin (20282728)

    Published 2025
    “…Despite the availability of numerous library search algorithms, those developed by NIST and implemented in MS Search remain predominant, partly because commercial databases (e.g., NIST, Wiley) are distributed in proprietary formats inaccessible to custom code. …”
  14. 94

    Replication package for "Control and Data Flow in Security Smell Detection for Infrastructure as Code: Is It Worth the Effort?" by Ruben Opdebeeck (9399530)

    Published 2023
    “…<p>This replication package contains the source code of the prototype implementation of GASEL, a security smell detector for Ansible code, as well as analysis scripts and notebooks and derived data.…”
  15. 95

    EMULSION: Transparent and flexible multiscale stochastic models in human, animal and plant epidemiology by Sébastien Picault (7382522)

    Published 2019
    “…Written in Python 3, EMULSION runs on Linux, MacOS, and Windows. …”
  16. 96

    Comparison data 7 for <i>Lamprologus ocellatus</i>. by Nicolai Kraus (19949667)

    Published 2024
    “…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …”
  17. 97

    Sample data for <i>Neolamprologus multifasciatus</i>. by Nicolai Kraus (19949667)

    Published 2024
    “…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …”
  18. 98

    Sample data for <i>Lamprologus ocellatus</i>. by Nicolai Kraus (19949667)

    Published 2024
    “…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …”
  19. 99

    Comparison data 3 for <i>Lamprologus ocellatus</i>. by Nicolai Kraus (19949667)

    Published 2024
    “…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …”
  20. 100

    Sample data for <i>Telmatochromis temporalis</i>. by Nicolai Kraus (19949667)

    Published 2024
    “…TIBA accepts data outputs from popular logging software and is implemented in Python and JavaScript, with all current browsers supported. …”