References in zbMATH (referenced in 445 articles )

Showing results 1 to 20 of 445.
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  1. Alessandro Sebastianelli, Maria Pia Del Rosso, Silvia Liberata Ullo: Automatic dataset builder for Machine Learning applications to satellite imagery (2021) not zbMATH
  2. Alfredo Mejia-Narvaez, Gustavo Bruzual, Sebastian F. Sanchez, Leticia Carigi, Jorge Barrera-Ballesteros, Mabel Valerdi, Renbin Yan, Niv Drory: CoSHA: Code for Stellar properties Heuristic Assignment - for the MaStar stellar library (2021) arXiv
  3. Anirudhan Badrinath, Frederic Wang, Zachary Pardos: pyBKT: An Accessible Python Library of Bayesian Knowledge Tracing Models (2021) arXiv
  4. Antoine Prouvost, Justin Dumouchelle, Maxime Gasse, Didier Chételat, Andrea Lodi: Ecole: A Library for Learning Inside MILP Solvers (2021) arXiv
  5. Apostolos Spanakis-Misirlis, Cameron L. Van Eck, E.P. Boven: Virgo: A Versatile Spectrometer for Radio Astronomy (2021) not zbMATH
  6. Arthur A. B. Pessa, Haroldo V. Ribeiro: ordpy: A Python package for data analysis with permutation entropy and ordinal network methods (2021) arXiv
  7. Arvind U. Raghunathan, Devesh K. Jha, Diego Romeres: PYROBOCOP : Python-based Robotic Control & Optimization Package for Manipulation and Collision Avoidance (2021) arXiv
  8. Austen Bernardi, Jessica M.J. Swanson: CycFlowDec: A Python module for decomposing flow networks using simple cycles (2021) not zbMATH
  9. Bender, Jason D.; Schilling, Oleg; Raman, Kumar S.; Managan, Robert A.; Olson, Britton J.; Copeland, Sean R.; Ellison, C. Leland; Erskine, David J.; Huntington, Channing M.; Morgan, Brandon E.; Nagel, Sabrina R.; Prisbrey, Shon T.; Pudliner, Brian S.; Sterne, Philip A.; Wehrenberg, Christopher E.; Zhou, Ye: Simulation and flow physics of a shocked and reshocked high-energy-density mixing layer (2021)
  10. Brown et al.: libCEED: Fast algebra for high-order element-based discretizations (2021) not zbMATH
  11. Changjie Chen, Jasmeet Judge, David Hulse: PyLUSAT: An open-source Python toolkit for GIS-based land use suitability analysis (2021) arXiv
  12. Chengyuan Xu, Curtis McCully, Boning Dong, D. Andrew Howell, Pradeep Sen: Cosmic-CoNN: A Cosmic Ray Detection Deep-Learning Framework, Dataset, and Toolkit (2021) arXiv
  13. Christophe Besse, Romain Duboscq, Stefan Le Coz: Numerical Simulations on Nonlinear Quantum Graphs with the GraFiDi Library (2021) arXiv
  14. Christopher M J Osborne, Ivan Milić: The Lightweaver Framework for NLTE Radiative Transfer in Python (2021) arXiv
  15. Christopher P. Bridge, Chris Gorman, Steven Pieper, Sean W. Doyle, Jochen K. Lennerz, Jayashree Kalpathy-Cramer, David A. Clunie, Andriy Y. Fedorov, Markus D. Herrmann: Highdicom: A Python library for standardized encoding of image annotations and machine learning model outputs in pathology and radiology (2021) arXiv
  16. Connor Powers, Lindsay Bassman, Thomas M. Linker, Ken-ichi Nomura, Sahil Gulania; Rajiv K. Kalia; Aiichiro Nakano; Priya Vashishta: MISTIQS: An open-source software for performing quantum dynamics simulations on quantum computers (2021) not zbMATH
  17. Derryn Knife: SurPyval: Survival Analysis with Python (2021) not zbMATH
  18. Edhlund, I.; Macauley, M.; Lee, C.: PBTK Optimizer: An Open Source Application for PBTK Model Parameter Optimization in Python (2021) not zbMATH
  19. Eike Caldeweyher: kallisto: A command-line interface to simplify computational modelling and the generation of atomic features (2021) not zbMATH
  20. Erdem Bıyık, Aditi Talati, Dorsa Sadigh: APReL: A Library for Active Preference-based Reward Learning Algorithms (2021) arXiv

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