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rehmanali1994 / repository
MATLAB, Python, and CUDA Implementations of Plane Wave Ultrasound Imaging with Stolt's f-k Migration (Original MATLAB code and plane wave data came from here: http://www.biomecardio.com/pageshtm/tools/toolsen.htm) [Reference: Garcia D et al. Stolt's f-k migration for plane wave ultrasound imaging. IEEE UFFC, 2013;60:1853-1867.]
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open-atmos /
Pythonic particle-based (super-droplet) cloud microphysics (and aqueous-chemistry) package with box, parcel & 1D/2D prescribed-flow examples in Python, Julia and Matlab
73/100 healthamueller /
Python and matlab bindings for the Damascene CUDA implementation of gPB
21/100 healthTomographyLab /
NiftyRec is a software toolbox for Tomographic image reconstruction. NiftyRec is written in C and computationally intensive functions have a GPU accelerated version based on NVidia CUDA. NiftyRec includes a Matlab Toolbox and a Python Package that access the low level routines, hiding the complexity of the GPU accelerated algorithms.
A version of matlab function 'imresize' using 'bicubic' interpolation, realized by pytorch and could acclearte by cuda. So it can be plug in nerual networks . While many interpolation methods in python like scipy.misc.imresize and torch.nn.function.Upsample(interpolation) and so on. They outputs different results with the results on matlab version. And I will update an python version 'bicubic' using numpy as soon as possible. And of course it can not acclerate by cuda, resulting slower results.
52/100 healthaobeirne20 /
Python GUI and PyTorch based backend to train a DNN or CNN on the MNIST handwriting dataset, classify digits the user draws in the GUI, and save hyperparameter info for a MATLAB graph.
33/100 healthmscipio /
NiftyRec is a software toolbox for Tomographic image reconstruction. NiftyRec is written in C and computationally intensive functions have a GPU accelerated version based on NVidia CUDA. NiftyRec includes a Matlab Toolbox and a Python Package that access the low level routines, hiding the complexity of the GPU accelerated algorithms.
32/100 health