References in zbMATH (referenced in 373 articles )

Showing results 41 to 60 of 373.
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  1. Hishinuma, Kazuhiro; Iiduka, Hideaki: Fixed point quasiconvex subgradient method (2020)
  2. Hubert Baniecki, Wojciech Kretowicz, Piotr Piatyszek, Jakub Wisniewski, Przemyslaw Biecek: dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python (2020) arXiv
  3. Iva Laginja; Hannah R. Wakeford: ExoTiC-ISM: A Python package for marginalised exoplanet transit parameters across a grid of systematic instrument models (2020) not zbMATH
  4. Jannik Michelfeit: multivar_horner: a python package for computing Horner factorisations of multivariate polynomials (2020) arXiv
  5. Jekel, Charles: Book review of: R. Johansson, Numerical Python. Scientific computing and data science applications with Numpy, SciPy and Matplotlib. 2nd ed. (2020)
  6. Joel C. Miller, Tony TIng: EoN (Epidemics on Networks): a fast, flexible Python package for simulation, analytic approximation, and analysis of epidemics on networks (2020) arXiv
  7. John D. Boy: textnets: A Python package for text analysis with networks (2020) not zbMATH
  8. Jonathan Demaeyer, Lesley De Cruz, Stéphane Vannitsem: qgs: A flexible Python framework of reduced-order multiscale climate models (2020) not zbMATH
  9. Karl Wette: SWIGLAL: Python and Octave interfaces to the LALSuite gravitational-wave data analysis libraries (2020) arXiv
  10. Katharina Boguslawski, Aleksandra Leszczyk, Artur Nowak, Filip Brzęk, Piotr Szymon Żuchowski, Dariusz Kędziera, Paweł Tecmer: Pythonic Black-box Electronic Structure Tool (PyBEST). An open-source Python platform for electronic structure calculations at the interface between chemistry and physics (2020) arXiv
  11. Kieran Leschinski; Eric Gendron: AnisoCADO: a python package for analytically generating adaptive optics point spread functions for the Extremely Large Telescope (2020) arXiv
  12. Klockiewicz, Bazyli; Darve, Eric: Sparse hierarchical preconditioners using piecewise smooth approximations of eigenvectors (2020)
  13. Kshitij Aggarwal; Devansh Agarwal; Joseph W Kania; William Fiore; Reshma Anna Thomas; Scott M. Ransom; Paul B. Demorest; Robert S. Wharton; Sarah Burke-Spolaor; Duncan R. Lorimer; Maura A. Mclaughlin; Nathaniel Garver-Daniels: Your: Your Unified Reader (2020) not zbMATH
  14. Lavrač, Nada; Škrlj, Blaž; Robnik-Šikonja, Marko: Propositionalization and embeddings: two sides of the same coin (2020)
  15. Leevi Kerkelä; Fabio Nery; Matt G. Hall; Chris A. Clark: Disimpy: A massively parallel Monte Carlo simulator for generating diffusion-weighted MRI data in Python (2020) not zbMATH
  16. Linge, Svein; Langtangen, Hans Petter: Programming for computations -- Python. A gentle introduction to numerical simulations with Python 3.6 (2020)
  17. Lukas Adamowicz; Shyamal Patel: Sit2StandPy: An Open-Source Python Package for Detecting and Quantifying Sit-to-Stand Transitions Using an Accelerometer on the Lower Back (2020) not zbMATH
  18. Mario Morvan, Angelos Tsiaras, Nikolaos Nikolaou, Ingo P. Waldmann: PyLightcurve-torch: a transit modelling package for deep learning applications in PyTorch (2020) arXiv
  19. Martí Bosch: DetecTree: Tree detection from aerial imagery in Python (2020) not zbMATH
  20. Martin Nielsen, Guy Davies, Oliver Hall, et al.: PBjam: A Python package for automating asteroseismology of solar-like oscillators (2020) arXiv

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