ldominguezruben

ldominguezruben's Stars

• CSSEGISandData/COVID-19

  Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

  29.1k8653.8k18.4k

• ageron/handson-ml2

  A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

  Language:Jupyter Notebook28.2k65751212.8k

• PyFR/PyFR

  PyFR

  Language:Python454640202

• mgaitan/curso-python-cientifico

  Curso de Python orientado a estudiantes de ciencias e ingeniería, profesores, investigadores e ingenieros

  Language:Jupyter Notebook16325478

• seanyx/RivWidthCloudPaper

  A Google Earth Engine based algorithm that extracts river centerlines and widths from satellite images

  Language:Python1236438

• facundobatista/libro-pyciencia

  Parte del soporte de construcción del libro "Python en Ámbitos Científicos" de Facundo Batista y Manuel Carlevaro.

  Language:Jupyter Notebook8517220

• leliel12/diseno_sci_sfw

  Curso doctoral FAMAF: Diseño de software para cómputo científico

  Language:Jupyter Notebook33507

• CNR-Engineering/PyTelTools

  Python Telemac Tools for post-processing tasks (includes a workflow)

  Language:Python32102715

• franktoffel/CFDPython-ES

  Una serie de IPython notebooks traducidos de "12 Steps to Navier-Stokes" http://lorenabarba.com/

  Language:Python133012

• hydro-informatics/hydro-informatics.github.io

  Main Site

  Language:Jupyter Notebook7200

• braydennoh/StochasticRiverMigration

  River migration can be predicted using a similar approach to weather forecasting. By employing probabilistic modeling techniques, we have developed MCMC-based river migration risk maps.

  Language:Jupyter Notebook5202

• ldominguezruben/meanderstatisticstoolbox

  Meander Statistics Toolbox (MStaT), is a packaging of codes developed on MATLAB, which allows the quantification of parameters dexscriptors of meandering channels (sinuosity, arc-wavelength, amplitude, curvature, inflection point, among other).

  Language:MATLAB5105

• hydro-informatics/openfoam

  Data and support for openfoam tutorials on hydro-informatics.com

  Language:C++4101

• ldominguezruben/ASET

  ASET is a Matlab®-based toolbox developed to obtain, visualize, and validate calibrations between the echo intensity level from static ADCP measurements and suspended sediment concentration values measured simultaneously in different points of surveyed verticals with traditional techniques. In addition, once the calibration is obtained, ASET transforms the acoustic intensity signal into sediment concentration for each cell measured by the ADCP, obtaining the same spatial resolution as the velocity field in the cross-section or temporal series (for static measurements). Extrapolation methods are also included to estimate velocity and concentration values in areas not measured by the ADCP, (i.e., near bottom, surface, and banks), with visualization modules for the user to evaluate each method. Finally, an integration module makes possible to compute the total suspended sediment concentration in a cross-section.

  Language:MATLAB4001

• andrescimino/jupyter_cfd_fcefyn-unc

  a set of jupyter notebooks and complementary material for the course of Introduction to CFD at the FCEFYN UNC

  Language:Jupyter Notebook110

• ldominguezruben/libro-pyciencia

  Parte del soporte de construcción del libro "Python en Ámbitos Científicos" de Facundo Batista y Manuel Carlevaro.

  Language:Jupyter Notebook1000