Treffer 21 - 40 von 19.273

21

peaks2utr: a robust Python tool for the annotation of 3′ UTRs.
William Haese-Hill ; Kathryn Crouch ; Thomas D. Otto
Bioinform.. 39(3)

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22

AllMetrics: A Unified Python Library for Standardized Metric Evaluation and Robust Data Validation in Machine Learning.
Morteza Alizadeh ; Mehrdad Oveisi ; Sonya Falahati ; et al.
CoRR. abs/2505.15931

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23

peaks2utr: a robust Python tool for the annotation of 3’ UTRs
William Haese-Hill ; Kathryn Crouch ; Thomas D Otto
Bioinformatics

0301 basic medicine Applications Note 03 medical and health sc... Gene Expression Profilin... 0206 medical engineering 02 engineering and techn...
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24

DRO: A Python Library for Distributionally Robust Optimization in Machine Learning.
Jiashuo Liu ; Tianyu Wang ; Henry Lam ; et al.
CoRR. abs/2505.23565

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26

pyMPSLib: A robust and scalable open-source Python library for mutiple-point statistical simulation.
Qiyu Chen 0001 ; Ruihong Zhou ; Cui Liu ; et al.
Earth Sci. Informatics. 16(4):3179-3190

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27

An Extendable Python Implementation of Robust Optimization Monte Carlo.
Vasilis Gkolemis ; Michael Gutmann ; Henri Pesonen
J. Stat. Softw.. 110(2)

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28

Python Materials Genomics (pymatgen): A robust, open-source python library for materials analysis
Ong, Shyue Ping ; Richards, William Davidson ; Jain, Anubhav ; et al.
Computational Materials Science. 68

40 Engineering (for-2020... 4016 Materials Engineeri... 51 Physical Sciences (fo... 5104 Condensed Matter Ph... Networking and Informati... Materials
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29

PyDMD: A Python package for robust dynamic mode decomposition.
Sara M. Ichinaga ; Francesco Andreuzzi ; Nicola Demo ; et al.
CoRR. abs/2402.07463

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30

PyBADS: Fast and robust black-box optimization in Python.
Gurjeet Sangra Singh ; Luigi Acerbi
CoRR. abs/2306.15576

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32

An Extendable Python Implementation of Robust Optimisation Monte Carlo.
Vasilis Gkolemis ; Michael Gutmann ; Henri Pesonen
CoRR. abs/2309.10612

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33

Experimental Design for Data Science and Engineering
Joseph, V. Roshan

computer experiments Gaussian process modelin... Design of Experiments uncertainty quantificati... Monte Carlo simulation sensitivity analysis
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34

xCDAT: A Python Package for Simple and Robust Analysis of Climate Data.
Tom Vo ; Stephen Po-Chedley ; Jason Boutte ; et al.
J. Open Source Softw.. 9(98):6426-6426

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35

PyBADS: Fast and robust black-box optimization in Python.
Gurjeet Sangra Singh ; Luigi Acerbi
J. Open Source Softw.. 9(96):5694-5694

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36

doped: Python toolkit for robust and repeatable charged defect supercell calculations.
Seán R. Kavanagh ; Alexander G. Squires ; Adair Nicolson ; et al.
J. Open Source Softw.. 9(96):6433-6433

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37

PySINDy: A comprehensive Python package for robust sparse system identification.
Alan A. Kaptanoglu ; Brian M. de Silva ; Urban Fasel ; et al.
CoRR. abs/2111.08481

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38

Experimental Design for Data Science and Engineering
Joseph, V. Roshan

computer experiments Gaussian process modelin... Design of Experiments uncertainty quantificati... Monte Carlo simulation sensitivity analysis
E-Book
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39

Tuplex: Robust, Efficient Analytics When Python Rules.
Leonhard F. Spiegelberg ; Tim Kraska
Proc. VLDB Endow.. 12(12):1958-1961

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40

ROC++: Robust Optimization in C++.
Vayanos, Phebe ; Jin, Qing ; Elissaios, George
INFORMS Journal on Computing. Nov/Dec2022, Vol. 34 Issue 6, p2873-2888. 16p.

C++ MATHEMATICAL optimizatio... ROBUST optimization PYTHON programming langu... DUALITY theory (Mathemat... SOFTWARE development too...
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