CUDA integration for Python, plus shiny features
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Updated
Aug 16, 2024 - Python
CUDA integration for Python, plus shiny features
Algorithms implemented in CUDA + resources about GPGPU
a python package for gravitational wave analysis with the F-statistic
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.
This container is no longer supported, and has been deprecated in favor of: https://github.com/joehoeller/NVIDIA-GPU-Tensor-Core-Accelerator-PyTorch-OpenCV
Audio Fingerprinting and Recognition in Python using NVidia's CUDA
pyCUDA implementation of forward propagation for Convolutional Neural Networks
Use CUDA for eBeam Lithography Simulation
This repo is based on https://github.com/jeetkanjani7/Parallel_NMS but add PyCUDA implementation
Parallel CUDA implementation of NON maximum Suppression. PyCUDA version is now moved to https://github.com/keineahnung2345/PyCUDA_NMS
Brain tumor (low-grade and high-grade glioma) segmentation using unsupervised methods
🐳🐍Pycuda Docker Environment for GPU Accelerated Python
A high-level Deep Learning framework that extends PyTorch and PyCUDA.
Parallel Processing Teaching Toolkit
A PyCUDA covariance matrix parallel implementation
A Dataflow implementation of DVND Local Search for the Minimum Latency Problem using GPU card
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