Name: Marwan Abdellah
Type: User
Company: Blue Brain Project, EPFL
Bio: Calligrapher, artist, biomedical engineer,
scientific visualization expert and passionate with in silico neuroscience.
Twitter: MarwanAbdellah
Location: Lausanne, Switzerland
Blog: marwan-abdellah.com
Marwan Abdellah's Projects
An icon font for academics
A tutorial series for learning OpenCL
Framework for creating 3d neuronal morphologies from point/diameter descriptions.
A fork of Philippe Decaudin's AntTweakBar library, with cmake and brew/OSX support
A Blender add-on to bring animations from NEURON
Multi-project CMake build system
The public CGAL repository, see the README below
Automatically exported from code.google.com/p/cl-volume-rendering
Common CMake modules
Example pybind11 module built with a CMake-based build system
Source code examples from the Parallel Forall Blog
This is a growing collection of code samples, fully working demonstration programs I wrote as supplementary material for articles posted at forums, newsgroups, Q&A sites, blogs, and so on.
Coursera preparation material for the POO cource 2013.
CUDA voxelizer
Yalla CUDA Polymorphism :)
CUDA-based implementation for linear 1D, 2D and 3D FFT-Shift functions.
CUDA Implementation for Fourier Volume Rendering Pipeline
cuYURI is a GPU-accelerated CUDA-based Image Processing Library & Framework designed to transparently afford researchers and scientists ready-to-use image processing functions and modules accelerated on the GPU.
Demo code for the paper ''Distributional Adversarial Networks''
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
MATLAB files for the DFCC approach presented in Shaban et al (2018), Nucleic Acids Research
Simple C++ implementation of the (manifold) dual marching cubes algorithm from Gregory M. Nielson
Just a Dummy repository until further notice.
The easiest way to get started with OpenCL!
Imaging, analysis, and simulation software for radio interferometry
Embarrassingly Parallel with a Progress Bar
Equalizer is the standard middleware to create and deploy parallel OpenGL-based applications. It enables applications to benefit from multiple graphics cards, processors and computers to scale the rendering performance, visual quality and display size. An Equalizer application runs unmodified on any visualization system, from a simple workstation to large scale graphics clusters, multi-GPU workstations and Virtual Reality installations.