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3121por Janitschke, Marvin“…The developed solution is supplementing the already existing Python programming interface within the STEAM framework for the model generation. …”
Publicado 2022
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3122por Hernalsteens, Cédric, Tesse, Robin, Gnacadja, Eustache, Pauly, Nicolas, Ramoisiaux, Eliott, Saghir, Youssef, Vanwelde, Marion“…Finally, we validate its accuracy with beam-based measurements from a proton therapy facility using our Python-language implementation which is shown to provide computation time of the order of milliseconds. …”
Publicado 2022
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3123“…These trained models are later used to analyse data from real observations. lstMCpipe is an open source python package developed to orchestrate the different stages of the analysis of the MC files on a computing facility. …”
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3124por Lorusso, Marco“…A broader-purpose open-source project from Xilinx (a major FPGA producer) called PYNQ is being tested combined with the HLS4ML toolkit.Even though a rich documentation can be found on how to use hls4ml, a comprehensive description of the entire workflow from Python to FPGA is still hard to find. This work tries to fill this gap, presenting hardware and software set-up, together with performance tests.…”
Publicado 2023
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3125por Cranmer, Kyle Stuart, Espejo Morales, Irina, Rieck, Patrick, Heinrich, Lukas Alexander, Gadow, Philipp, Von Ahnen, Janik, Bhatti, Zubair“…The procedure is aided by a warm-start phase based on computationally inexpensive, approximate limit estimates. A python package, excursion, provides the Gaussian Process routine. …”
Publicado 2023
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3126por Cavagna, Tanguy“…The advancements encompass a spectrum of activities, ranging from migrating the graphical user interface (GUI) from Python 2.7.5 to 3.6.8, to substantial enhancements in the underlying C++ codebase governing the optical simulation tool. …”
Publicado 2023
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3127por Lawrence, John“…Using the TopEFT application, based on the Coffea data analysis framework and the Work Queue distributed executor, we reliably process 2TB of data, 375 CPU-hours analysis codes to completion in about one hour on hundreds of nodes, albeit with a high variability due to competing system loads. The python environment needed in the compute nodes is setup and cached on the fly if needed (300MB as tarball sent to worker nodes, 1GB unpacked). …”
Publicado 2023
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3128por Erdmann, M, Fischer, R, Glaser, C, Klingebiel, D, Komm, M, Müller, G, Rieger, M, Steggemann, J, Urban, M, Winchen, T“…VISPA provides a graphical steering of the analysis ow, which consists of self-written, re-usable Python and C++ modules for more demanding tasks. All common operating systems are supported since a standard internet browser is the only software requirement for users. …”
Publicado 2014
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3129“…Control system alarms can also be visualized in a dedicated table if necessary. Python mock-up scripts can be generated by the client, allowing the user to query the pythonic DDV server directly, such that the users can embed the scripts into more complex analysis programs. …”
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3130“…At the same time it provides the necessary high-level interface towards the developer physicist, such as the support for inter-object relations and automatic memory-management, as well as a Python interface. To simplify the creation of efficient data models PODIO employs code generation from a simple yaml-based markup language. …”
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3131por Bachmann, Richard, Ganis, Gerardo, Konstantinov, Dmitri, Razumov, Ivan, Heinz, Johannes Martin“…These software stacks comprise a large number of packages (Monte Carlo generators, machine learning tools, Python modules, HEP**** specific software), all available for several compilers, operating systems and hardware architectures. …”
Publicado 2020
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3132“…At present, the continuous integration (CI) system used for regular building and testing of this software is implemented using Jenkins and runs on a cluster of about 300 cores.LHCb CI pipelines are python-based and relatively modern with some degree of modularity, i.e. the separation of test jobs from build jobs. …”
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3133“…Additionally, the algorithm is implemented in Python to minimize the overall cost and ensure its upgradability in the future.…”
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3134“…For visualizations, we provide the accompanying Python package PyFish at https://bitbucket.org/schwarzlab/pyfish. …”
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3135por Raghavan, Bharath, Schackert, Florian K., Levy, Andrea, Johnson, Sophia K., Ippoliti, Emiliano, Mandelli, Davide, Olsen, Jógvan Magnus Haugaard, Rothlisberger, Ursula, Carloni, Paolo“…Here, we present MiMiCPy, a user-friendly tool that automatizes the preparation of MiMiC input files. It is written in Python 3 with an object-oriented approach. The main subcommand PrepQM can be used to generate MiMiC inputs directly from the command line or through a PyMOL/VMD plugin for visually selecting the QM region. …”
Publicado 2023
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3136“…AVAILABILITY AND IMPLEMENTATION: StonPy is implemented in Python 3 under a GPLv3 license. Its code and complete documentation are freely available from https://github.com/adrienrougny/stonpy. …”
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3137por Yakusheva, Anastasia, Aly-Eldeen, Mohamed, Gusev, Alexander, Zakharova, Olga, Kuznetsov, Denis“…Finally, a visual sensor, based on Amino-CQDs, was successfully created for the 0.01–100 mg/mL range to produce a colorimetric effect that can be registered by computer vision software (Open CV Python).…”
Publicado 2023
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3138por Mutsuddy, Arnab, Erdem, Cemal, Huggins, Jonah R, Salim, Misha, Cook, Daniel, Hobbs, Nicole, Feltus, F Alex, Birtwistle, Marc R“…AVAILABILITY AND IMPLEMENTATION: Source code is freely available at https://github.com/birtwistlelab/SPARCED/releases/tag/v1.3.0 implemented in python, and supported on Linux, Windows and MacOS (via Docker).…”
Publicado 2023
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3139“…AVAILABILITY AND IMPLEMENTATION: The Python source code for reproducing the main results are available on GitHub: https://github.com/DanielNolte/FederatedDeepRegressionForests. …”
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3140“…We selected 226 articles and conducted topic modeling analysis to identify the main agenda of news related to patients with diabetes in the context of the COVID-19 pandemic; both latent Dirichlet allocation and visualization were conducted by generating keywords extracted from news text as a matrix using Python 3.0. Four main topics were extracted from the news articles related to “COVID-19” and “diabetes” during the COVID-19 pandemic, including “COVID-19 high-risk group,” “health management through digital healthcare,” “risk of metabolic disease related to quarantine policy,” and “child and adolescent obesity and diabetes.” …”
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