Results 21 to 30 of about 854,725 (353)
Frontiers in Neuroinformatics, 2009 The NEURON simulation program now allows Python to be used, alone or in combination with NEURON's traditional Hoc interpreter. Adding Python to NEURON has the immediate benefit of making available a very extensive suite of analysis tools written for engineering and science.
Hines, Michael L +2 more
openaire +4 more sources
Computational Linguistics, 2021 The abstract is available here: https://uscholar.univie.ac.at/o ...
Roth, Benjamin, Wiegand, Michael
openaire +4 more sources
PolyBench/Python: benchmarking Python environments with polyhedral optimizations [PDF]
Proceedings of the 30th ACM SIGPLAN International Conference on Compiler Construction, 2021 [Abstract] Python has become one of the most used and taught languages nowadays. Its expressiveness, cross-compatibility and ease of use have made it popular in areas as diverse as finance, bioinformatics or machine learning. However, Python programs are often significantly slower to execute than an equivalent native C implementation, especially ...
Miguel Á. Abella-González +4 more
openaire +4 more sources
Pymoo: Multi-Objective Optimization in Python [PDF]
IEEE Access, 2020 Python has become the programming language of choice for research and industry projects related to data science, machine learning, and deep learning. Since optimization is an inherent part of these research fields, more optimization related frameworks ...
Julian Blank, K. Deb
semanticscholar +1 more source
GPAW: An open Python package for electronic structure calculations. [PDF]
Journal of Chemical Physics, 2023 We review the GPAW open-source Python package for electronic structure calculations. GPAW is based on the projector-augmented wave method and can solve the self-consistent density functional theory (DFT) equations using three different wave-function ...
J. Mortensen +46 more
semanticscholar +1 more source
PyMC: a modern, and comprehensive probabilistic programming framework in Python
PeerJ Computer Science, 2023 PyMC is a probabilistic programming library for Python that provides tools for constructing and fitting Bayesian models. It offers an intuitive, readable syntax that is close to the natural syntax statisticians use to describe models.
Oriol Abril-Pla +13 more
semanticscholar +1 more source
Causal-learn: Causal Discovery in Python [PDF]
Journal of machine learning research, 2023 Causal discovery aims at revealing causal relations from observational data, which is a fundamental task in science and engineering. We describe $\textit{causal-learn}$, an open-source Python library for causal discovery. This library focuses on bringing
Yujia Zheng +8 more
semanticscholar +1 more source
Advanced Engineering Materials, EarlyView., 2023 A novel method for tracking structural changes in gels using widely accessible microcomputed tomography is presented and validated for various hydro‐, alco‐, and aerogels. The core idea of the method is to track positions of micrometer‐sized tracer particles entrapped in the gel and relate them to the density of the gel network.
Anja Hajnal +3 more
wiley +1 more source
ONLINE STATISTICS SYSTEM FOR PARTICIPANTS IN THE DISCORD MESSENGER USING PYTHON AND POSTGRESQL
International Journal of Advanced Studies, 2022 The relevance of the topic under consideration is since in one of the Discord channel communities there was a need to collect the activity of channel members for a certain time and duration.
Roman R. Krapivin +3 more
doaj +1 more source