References in zbMATH (referenced in 25 articles )

Showing results 1 to 20 of 25.
Sorted by year (citations)

1 2 next

  1. Johannes N. Hansen: nd - A Framework for the Analysis of n-dimensional Earth Observation Data (2022) not zbMATH
  2. Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, George H. Chen, Zhihao Jia, Philip S. Yu: PyGOD: A Python Library for Graph Outlier Detection (2022) arXiv
  3. Bernard Giroux: ttcrpy: A Python package for traveltime computation and raytracing (2021) not zbMATH
  4. Julien Siebert, Janek Groß, Christof Schroth: A systematic review of Python packages for time series analysis (2021) arXiv
  5. Konstantin Stadler: Pymrio - A Python Based Multi-Regional Input-Output Analysis Toolbox (2021) not zbMATH
  6. Mehdi Bahrami, N.C. Shrikanth, Shade Ruangwan, Lei Liu, Yuji Mizobuchi, Masahiro Fukuyori, Wei-Peng Chen, Kazuki Munakata, Tim Menzies: PyTorrent: A Python Library Corpus for Large-scale Language Models (2021) arXiv
  7. Morten Gjerding, Thorbjørn Skovhus, Asbjørn Rasmussen, Fabian Bertoldo, Ask Hjorth Larsen, Jens Jørgen Mortensen, Kristian Sommer Thygesen: Atomic Simulation Recipes - a Python framework and library for automated workflows (2021) arXiv
  8. de Vazelhes, William; Carey, Cj; Tang, Yuan; Vauquier, Nathalie; Bellet, Aurélien: metric-learn: metric learning algorithms in Python (2020)
  9. Julian Blank, Kalyanmoy Deb: pymoo: Multi-objective Optimization in Python (2020) arXiv
  10. Leonardo Uieda; Santiago Rubén Soler; Rémi Rampin; Hugo van Kemenade; Matthew Turk; Daniel Shapero; Anderson Banihirwe; John Leeman: Pooch: A friend to fetch your data files (2020) not zbMATH
  11. Yuan, Zhenfei; Hu, Taizhong: Sampling multivariate count variables with prespecified Pearson correlation using marginal regular vine copulas (2020)
  12. Andrei V. Novikov: PyClustering: Data Mining Library (2019) not zbMATH
  13. Casper O da Costa-Luis: tqdm: A Fast, Extensible Progress Meter for Python and CLI (2019) not zbMATH
  14. Eric Horton, Chris Parnin: DockerizeMe: Automatic Inference of Environment Dependencies for Python Code Snippets (2019) arXiv
  15. Balaji Sesha Sarath Pokuri; Alec Lofquist; Chad M Risko; Baskar Ganapathysubramanian: PARyOpt: A software for Parallel Asynchronous Remote Bayesian Optimization (2018) arXiv
  16. Benjamin J. Fulton; Erik A. Petigura; Sarah Blunt; Evan Sinukoff: RadVel: The Radial Velocity Modeling Toolkit (2018) arXiv
  17. Catherine Zucker; Hope How-Huan Chen: RadFil: a Python Package for Building and Fitting Radial Profiles for Interstellar Filaments (2018) arXiv
  18. D.M. Straub: flavio: a Python package for flavour and precision phenomenology in the Standard Model and beyond (2018) arXiv
  19. Eleni Constantinou, Alexandre Decan, Tom Mens: Breaking the borders: an investigation of cross-ecosystem software packages (2018) arXiv
  20. Ignatiev, Alexey; Morgado, Antonio; Marques-Silva, Joao: PySAT: a Python toolkit for prototyping with SAT oracles (2018)

1 2 next