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  1. 3881
    “…AVAILABILITY AND IMPLEMENTATION: EM-stellar (code and data) is written in Python and is freely available under MIT license on GitHub (https://github.com/cellsmb/em-stellar). …”
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  2. 3882
  3. 3883
    “…AeQTL is implemented in Python and the source code is freely available at https://github.com/Huang-lab/AeQTL under the MIT license.…”
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  4. 3884
    “…All metrics have been included in an open Python framework, named LEAF. The purpose of LEAF is to provide a reference for end users to evaluate explanations in a standardised and unbiased way, and to guide researchers towards developing improved explainable techniques.…”
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  5. 3885
    por van Paridon, Jeroen, Thompson, Bill
    Publicado 2020
    “…The models, as well as code for reproducing the models and all analyses reported in this paper (implemented as a user-friendly Python package), are freely available at: https://github.com/jvparidon/subs2vec.…”
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  6. 3886
    “…The solution integrated data collected by the sensors with the cloud using an Internet of Things architecture, a web service, and python scripts to exhibit the outcomes on the computer screen. …”
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  7. 3887
    “…AVAILABILITYAND IMPLEMENTATION: CoLiDe is implemented in Python and freely available at https://github.com/voracva1/CoLiDe. …”
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  8. 3888
    “…BSBolt is implemented as a Python package and command line utility for flexibility when building informatics pipelines. …”
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  9. 3889
    “…Data analysis often entails a multitude of heterogeneous steps, from the application of various command line tools to the usage of scripting languages like R or Python for the generation of plots and tables. It is widely recognized that data analyses should ideally be conducted in a reproducible way. …”
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  10. 3890
    “…HCMB is implemented in Python and is freely accessible to non-commercial users at GitHub: https://github.com/HUST-DataMan/HCMB.…”
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  11. 3891
    “…The techniques used for classification were implemented in Python and through a comparison of metrics and performance, it was concluded that the best classification technique to characterize epileptic patients are artificial neural networks with an accuracy of 86%.…”
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  12. 3892
    “…RESULTS: The images were standardized by using the OpenCV library in Python language, so that the patient's eyes were located and sent to a multilabel model through the Keras framework regardless of the photo orientation. …”
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  13. 3893
    “…AVAILABILITY AND IMPLEMENTATION: The DBTpred package is implemented in Python and freely available at: https://github.com/fpy94/DBT. …”
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  14. 3894
    “…AVAILABILITY AND IMPLEMENTATION: The C++ and python source codes of the Umibato software are available at https://github.com/shion-h/Umibato. …”
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  15. 3895
    “…An application was developed in Python 2.7 to automate the measurements. The ∆planned (variation in the position between the initial and final planned models) was obtained for each tooth and each type of movement. …”
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  16. 3896
    “…In addition, gQuant is fully open-source and is coded in Python, which is supported by most operating systems, and it has a user-friendly interface. gQuant can be easily adapted by users for specific experimental designs, such as specific glycan databases, different derivatization types and relative quantitation designs and can thus facilitate fast glycomic quantitation for clinical sample analysis using MALDI-MS-based stable isotope labeling.…”
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  17. 3897
    “…LDA is a common topic modeling algorithm with excellent implementation in the Gensim Python package. However, the challenge is how to extract good quality topics that are simple, separated, and meaningful. …”
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  18. 3898
    “…To simplify the use of the method, a Python-library HelioK was developed, and it is demonstrated how to work with it in a Jupyter-notebook. …”
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  19. 3899
    por Andersson, Alma, Lundeberg, Joakim
    Publicado 2021
    “…AVAILABILITYAND IMPLEMENTATION: Open-source Python package with a command line interface (CLI), freely available at https://github.com/almaan/sepal under an MIT licence. …”
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  20. 3900
    “…This framework uses a python-based algorithm to analyse microcomputer-tomography scans (μCT) of cylindrical specimens undergoing corrosion. …”
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