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.
GPU Accelerated Image Filters
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
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Convolution of two audio files for Signals and systems university lesson
Introduction to PyCuda GPU programming.
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