Search alternatives:
effective implementation » effective prevention (Expand Search)
broad implementation » world implementation (Expand Search), pre implementation (Expand Search), inform implementation (Expand Search)
python effective » proven effective (Expand Search), obtain effective (Expand Search), 1_the effective (Expand Search)
python broad » python based (Expand Search)
Showing 1 - 20 results of 274 for search '(( python broad implementation ) OR ( python effective implementation ))*', query time: 0.28s Refine Results
  1. 1
    Quanfima: An open source Python package for automated fiber analysis of biomaterials

    Quanfima: An open source Python package for automated fiber analysis of biomaterials by Roman Shkarin (6580823)

    Published 2019
    “…Due to the demand for reproducible science with Jupyter notebooks and the broad use of the Python programming language, we have developed the new Python package quanfima offering a complete analysis of hybrid biomaterials, that include the determination of fiber orientation, fiber and/or particle diameter and porosity. …”
    Save to List
    Saved in:
  2. 2
    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
    Save to List
    Saved in:
  3. 3
    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
    “…Here, we introduce an application programming interface (API) that implements both BART and GP for estimating averaged treatment effect (ATE) and conditional averaged treatment (CATE) for the two-stage time-varying treatment strategies.…”
    Save to List
    Saved in:
  4. 4
    Python sript.

    Python sript. by Kan Jia (6438599)

    Published 2025
    Save to List
    Saved in:
  5. 5
    Implementations benchmark.

    Implementations benchmark. by Serena Aneli (17002149)

    Published 2023
    Save to List
    Saved in:
  6. 6
    Tools used in implementing the RNN models.

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

    Published 2024
    Subjects:
    Save to List
    Saved in:
  7. 7
    PYTHON

    PYTHON by Kan Jia (21666161)

    Published 2025
    Save to List
    Saved in:
  8. 8
    Multiprocessing and GPU application of SVMs significantly reduces run-times.

    Multiprocessing and GPU application of SVMs significantly reduces run-times. by Bjørn André Bredesen-Aa (13767126)

    Published 2022
    Subjects:
    Save to List
    Saved in:
  9. 9
    Deep-MOCCA schematic.

    Deep-MOCCA schematic. by Bjørn André Bredesen-Aa (13767126)

    Published 2022
    Subjects:
    Save to List
    Saved in:
  10. 10
    Predictions at the A) <i>invected</i> and B) <i>vestigial</i> loci.

    Predictions at the A) <i>invected</i> and B) <i>vestigial</i> loci. by Bjørn André Bredesen-Aa (13767126)

    Published 2022
    Subjects:
    Save to List
    Saved in:
  11. 11
    Prediction overlap with experimental data.

    Prediction overlap with experimental data. by Bjørn André Bredesen-Aa (13767126)

    Published 2022
    Subjects:
    Save to List
    Saved in:
  12. 12
    Core data preparation features.

    Core data preparation features. by Bjørn André Bredesen-Aa (13767126)

    Published 2022
    Subjects:
    Save to List
    Saved in:
  13. 13
    Numbers of predictions.

    Numbers of predictions. by Bjørn André Bredesen-Aa (13767126)

    Published 2022
    Subjects:
    Save to List
    Saved in:
  14. 14
    Models.

    Models. by Bjørn André Bredesen-Aa (13767126)

    Published 2022
    Subjects:
    Save to List
    Saved in:
  15. 15
    Cross-validation Precision/Recall curves.

    Cross-validation Precision/Recall curves. by Bjørn André Bredesen-Aa (13767126)

    Published 2022
    Subjects:
    Save to List
    Saved in:
  16. 16
    Sequence feature analysis.

    Sequence feature analysis. by Bjørn André Bredesen-Aa (13767126)

    Published 2022
    Subjects:
    Save to List
    Saved in:
  17. 17
    Python programming code for the stochastic inference of disease interval distributions.

    Python programming code for the stochastic inference of disease interval distributions. by Günter Schneckenreither (10099380)

    Published 2023
    Save to List
    Saved in:
  18. 18
    A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data

    A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data by Anthony S. Barente (14035175)

    Published 2022
    “…Here we describe pyAscore, an efficient and versatile implementation of the Ascore algorithm in Python for scoring the localization of user defined PTMs in data dependent mass spectrometry. pyAscore can be used from the command line or imported into Python scripts and accepts standard file formats from popular software tools used in bottom-up proteomics. …”
    Save to List
    Saved in:
  19. 19
    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
    Save to List
    Saved in:
  20. 20
    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
    Subjects:
    Save to List
    Saved in:

Search Tools: