Results 51 to 60 of about 854,725 (353)
Statsmodels: Econometric and Statistical Modeling with Python
SciPy, 2010 Statsmodels is a library for statistical and econometric analysis in Python. This paper discusses the current relationship between statistics and Python and open source more generally, outlining how the statsmodels package fills a gap in this ...
Skipper Seabold, Josef Perktold
semanticscholar +1 more source
Pydpiper: A Flexible Toolkit for Constructing Novel Registration Pipelines
Frontiers in Neuroinformatics, 2014 Using neuroimaging technologies to elucidate the relationship between genotype and phenotype and brain and behavior will be a key contribution to biomedical research in the twenty-first century.
Miriam eFriedel +7 more
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A new method for obtaining the magnetic shape anisotropy directly from electron tomography images
Beilstein Journal of Nanotechnology, 2022 A new methodology to obtain magnetic information on magnetic nanoparticle (MNP) systems via electron tomography techniques is reported in this work. The new methodology is implemented in an under-development software package called Magn3t, written in ...
Cristian Radu +2 more
doaj +1 more source
Trends in programming languages for neuroscience simulations
Frontiers in Neuroscience, 2009 Neuroscience simulators allow scientists to express models in terms of biological concepts, without having to concern themselves with low-level computational details of their implementation.
Andrew P Davison +2 more
doaj +1 more source
Dipy, a library for the analysis of diffusion MRI data
Frontiers in Neuroinformatics, 2014 Diffusion Imaging in Python (Dipy) is a free and open source software projectfor the analysis of data from diffusion magnetic resonance imaging (dMRI)experiments. dMRI is an application of MRI that can be used to measurestructural features of brain white
Eleftherios eGaryfallidis +7 more
doaj +1 more source
Probabilistic programming in Python using PyMC3
PeerJ Computer Science, 2016 Probabilistic Programming allows for automatic Bayesian inference on user-defined probabilistic models. Recent advances in Markov chain Monte Carlo (MCMC) sampling allow inference on increasingly complex models.
J. Salvatier +2 more
semanticscholar +1 more source
Journal of Open Source Software, 2021 The Semi-Automatic Classification Plugin is a Python plugin for the software QGIS (QGIS Development Team, 2021) developed with the overall objective to facilitate land cover monitoring by people whose main field is not strictly remote sensing, but that ...
Luca Congedo
semanticscholar +1 more source
PyHMMER: a Python library binding to HMMER for efficient sequence analysis
Bioinform., 2023 Summary PyHMMER provides Python integration of the popular profile Hidden Markov Model software HMMER via Cython bindings. This allows the annotation of protein sequences with profile HMMs and building new ones directly with Python.
M. Larralde, G. Zeller
semanticscholar +1 more source
Pytrec_eval: An Extremely Fast Python Interface to trec_eval
, 2018 We introduce pytrec_eval, a Python interface to the tree_eval information retrieval evaluation toolkit. pytrec_eval exposes the reference implementations of trec_eval within Python as a native extension.
Koepke H., ST., Tague J.
core +1 more source
The atomic simulation environment-a Python library for working with atoms.
Journal of Physics: Condensed Matter, 2017 The atomic simulation environment (ASE) is a software package written in the Python programming language with the aim of setting up, steering, and analyzing atomistic simulations. In ASE, tasks are fully scripted in Python.
Ask Hjorth Larsen +33 more
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