Teaching materials from FIDIT
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Updated
May 25, 2024 - HTML
Teaching materials from FIDIT
CUDA integration for Python, plus shiny features
Run yolo V8 models as tensorrt engines natively for maximum performance 🏎️💨
Cuda Programming in GPU Computing Course(MCC302) at IIT ISM Dhanbad
High performance computing Images with pycuda and tensorrt preinstalled
a python package for gravitational wave analysis with the F-statistic
SParry is a shortest path calculating Python tool using some algorithms with CUDA to speedup.
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.
This is a university project, a parallel implementation of the Smith-waterman algorithm
Boilerplate app for enabling parallel execution of pattented structural bioinformatics algorithm on GPUs using PyCUDA/CUDA framework.
Bacteria Detection based on YOLOv5 for Jetson Nano.
simple cuda optimized mnist classifier
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.
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 minute…
Выполненные лабораторные по курсу: "Высокопроизводительные и облачные вычисления".
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