pycuda
There are 55 repositories under pycuda topic.
inducer/pycuda
CUDA integration for Python, plus shiny features
lebedov/scikit-cuda
Python interface to GPU-powered libraries
rbaygildin/learn-gpgpu
Algorithms implemented in CUDA + resources about GPGPU
andi611/Apriori-and-Eclat-Frequent-Itemset-Mining
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.
PyFstat/PyFstat
a python package for gravitational wave analysis with the F-statistic
daddydrac/computer-vision-container
This container is no longer supported, and has been deprecated in favor of: https://github.com/joehoeller/NVIDIA-GPU-Tensor-Core-Accelerator-PyTorch-OpenCV
CwbhX/Jamais-Vu
Audio Fingerprinting and Recognition in Python using NVidia's CUDA
tjyuyao/cutex
PyCUDA based PyTorch Extension Made Easy
WenqiJiang/Convolution-Neural-Network-by-pyCUDA
pyCUDA implementation of forward propagation for Convolutional Neural Networks
looninho/CUDAEBL
Use CUDA for eBeam Lithography Simulation
keineahnung2345/Parallel_NMS
Parallel CUDA implementation of NON maximum Suppression. PyCUDA version is now moved to https://github.com/keineahnung2345/PyCUDA_NMS
keineahnung2345/PyCUDA_NMS
This repo is based on https://github.com/jeetkanjani7/Parallel_NMS but add PyCUDA implementation
grocid/gpusha1
⛏ Simple SHA-1 prefix/suffix brute force in CUDA (CTF proof-of-work)
KnowledgePending/Pycuda-Docker
🐳🐍Pycuda Docker Environment for GPU Accelerated Python
rbaygildin/brain-tumor-segmentation
Brain tumor (low-grade and high-grade glioma) segmentation using unsupervised methods
javierip/parallel-processing-teaching-toolkit
Parallel Processing Teaching Toolkit
tjyuyao/ice-learn
A high-level Deep Learning framework that extends PyTorch and PyCUDA.
Ivanrs297/pycuda-covariance-matrix
A PyCUDA covariance matrix parallel implementation
LabCad/dvnd-df
A Dataflow implementation of DVND Local Search for the Minimum Latency Problem using GPU card
R40835/posture-corrector-app
Jetson Nano-based app using computer vision and a CNN model to analyse sitting posture. Alerts sent for poor posture, with real-time monitoring and user feedback. Optimised for Jetson Nano, with data storage and user statistics. Promotes better spinal health and posture habits.
dino8890/img-filters
PNG grayscale and blur filters using PyCUDA
badalyaz/bacteria-detection
Bacteria Detection based on YOLOv5 for Jetson Nano.
CardLin/SFEGO_3D_PyCUDA
This code is Spatial Frequency Extraction using Gradient-liked Operator in Three-Dimension (SFEGO_3D) that use gradient and integral to mimic the Multi-dimensional Ensemble Empirical Mode Decomposition (MEEMD) and Three-dimensional Empirical Mode Decomposition (TEMD) in different way. Our code can get 6 Spatial Data (128*128*128) within 1 minutes with modern GPU.
dilushaj/CUDA-NJ
GPU accllerated program for Neighbor-Joining algorithm of Biopython library with PyCUDA
qriosa/SParry
SParry is a shortest path calculating Python tool using some algorithms with CUDA to speedup.
abdulfatir/subKmeans
Numpy and pyCUDA implementation of subKmeans
ajanach/dijkstra-CUDA
Dijkstra algorithm has been implemented using CUDA technology in parallel and serial ways to measure execution time for both versions. It serves as a resource for the college community to understand and apply the algorithm better.
gkostadinov/py-mandelbrot
Mandelbrot set visualisation written in Python and accelerated with PyCUDA
HEKOCMOC/Course-High-Performance-Computing
Laboratory work on the subject of high performance computing (HPC)
le-ander/MSc_Bioinfo-Experimental_Design
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.
milanXpetrovic/teaching
Teaching materials from FIDIT
peter-xxxxx/raytracer.py
CUDA accelerated raytracer using PyCUDA in Python
Armaggheddon/tensorrt_yolov8
Run yolo V8 models as tensorrt engines natively for maximum performance 🏎️💨