Mandelbrot set visualisation written in Python and accelerated with PyCUDA
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Updated
Jul 3, 2016 - Python
Mandelbrot set visualisation written in Python and accelerated with PyCUDA
Numpy and pyCUDA implementation of subKmeans
Using information theory to inform experimental design with GPU acceleration. Computing group project as part of the MSc in Bioinformatics and Theorectical Systems Biology at Imperial College London 2016/2017.
Brain tumor (low-grade and high-grade glioma) segmentation using unsupervised methods
GPU Accelerated Image Filters
Parallel CUDA implementation of NON maximum Suppression. PyCUDA version is now moved to https://github.com/keineahnung2345/PyCUDA_NMS
This repo is based on https://github.com/jeetkanjani7/Parallel_NMS but add PyCUDA implementation
Implementation of the Apriori and Eclat algorithms, two of the best-known basic algorithms for mining frequent item sets in a set of transactions, implementation in Python.
CUDA accelerated raytracer using PyCUDA in Python
pyCUDA implementation of forward propagation for Convolutional Neural Networks
Parallel Processing Teaching Toolkit
Common OCR using neural networks
PNG grayscale and blur filters using PyCUDA
Audio Fingerprinting and Recognition in Python using NVidia's CUDA
GPU accllerated program for Neighbor-Joining algorithm of Biopython library with PyCUDA
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