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Showing 1 - 20 results of 604 for search '(( python pilot implementation ) OR ( python inform implementation ))', query time: 0.41s Refine Results
  1. 1
    Implementation of the SAACS in python.

    Implementation of the SAACS in python. by Pavel Škrabánek (6106427)

    Published 2019
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  2. 2
    SCADET algorithm parameter configuration (Python implementation).

    SCADET algorithm parameter configuration (Python implementation). by Xiaolong Zhang (470454)

    Published 2025
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  3. 3
    Python Jupyter notebook implementing similar neural networks.

    Python Jupyter notebook implementing similar neural networks. by Pierre-Philippe Dechant (10751360)

    Published 2021
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  4. 4
    Python implementation from Symplectic decomposition from submatrix determinants

    Python implementation from Symplectic decomposition from submatrix determinants by Jason L. Pereira (11598632)

    Published 2021
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  5. 5
    Python3 implementation of the correlation-based regression algorithm.

    Python3 implementation of the correlation-based regression algorithm. by Sebastian J. Kopetzky (6059033)

    Published 2024
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  6. 6
    Accelerating Pythonic Coupled-Cluster Implementations: A Comparison Between CPUs and GPUs

    Accelerating Pythonic Coupled-Cluster Implementations: A Comparison Between CPUs and GPUs by Maximilian H. Kriebel (17896949)

    Published 2024
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  7. 7
    Runtime comparison using our API vs published/standard Python implementations.

    Runtime comparison using our API vs published/standard Python implementations. by Lu Bin Liu (14279482)

    Published 2022
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  8. 8
    Runtimes of analytical methods implemented in scedar.

    Runtimes of analytical methods implemented in scedar. by Yuanchao Zhang (229875)

    Published 2020
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  9. 9
    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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  10. 10
    Python code that implements the Hoshen Kopleman algorithm used to identify the clusters shown in Figs 9 and 10.

    Python code that implements the Hoshen Kopleman algorithm used to identify the clusters shown in Figs 9 and 10. by Leonardo Costa Ribeiro (10439243)

    Published 2023
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  11. 11
    Python code for estimating parameters of an ALAAM model.

    Python code for estimating parameters of an ALAAM model. by Alex Stivala (8356257)

    Published 2024
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  12. 12
    Core concepts implemented in the MetDataModel package.

    Core concepts implemented in the MetDataModel package. by Joshua M. Mitchell (14703178)

    Published 2024
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  13. 13
    Computation time of the vector and tensor-based implementations.

    Computation time of the vector and tensor-based implementations. by Etienne Combrisson (9580631)

    Published 2020
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  14. 14
    Table_1_An application programming interface implementing Bayesian approaches for evaluating effect of time-varying treatment with R and Python.pdf

    Table_1_An application programming interface implementing Bayesian approaches for evaluating effect of time-varying treatment with R and Python.pdf by Chen Chen (6544)

    Published 2023
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  15. 15
    Comparison of the main PAC methods currently implemented in Tensorpac.

    Comparison of the main PAC methods currently implemented in Tensorpac. by Etienne Combrisson (9580631)

    Published 2020
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  16. 16
    Compartmental BNGL implementation of the SNARE complex model.

    Compartmental BNGL implementation of the SNARE complex model. by Adam Husar (18437351)

    Published 2024
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  17. 17
    The logical blocks of the epithelial model implementation.

    The logical blocks of the epithelial model implementation. by Leyla Noroozbabaee (14100772)

    Published 2022
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  18. 18
    Diagram of data analysis and implementation of the package BOOME.

    Diagram of data analysis and implementation of the package BOOME. by Li-Pang Chen (9747423)

    Published 2022
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  19. 19
    PyRates—A Python framework for rate-based neural simulations

    PyRates—A Python framework for rate-based neural simulations by Richard Gast (8129451)

    Published 2019
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  20. 20
    Iterative gap-filling strategy used to generate ensembles implemented in Medusa.

    Iterative gap-filling strategy used to generate ensembles implemented in Medusa. by Gregory L. Medlock (4280971)

    Published 2020
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