Object oriented Python Cuda Toolkit

This repo is an archive of research and project about Super Resolution

Generate and explore fractals with Python and CUDA

Instalación y primeros pasos con YOLO usando Darkflow

Using CUDA to add vectors

Common OCR using neural networks

This package implements a goalkeeping robot (mimics a soccer goalkeeper) using Turtlebot with ZED camera in ROS.

The most interesting part of this project is a wide variety of food items when it comes to food, e.g., soup, cake, salad and their variants. Also, the same food item may not look the same depending on different viewpoints, lighting conditions, etc. First, a robust CNN-based food item recognition will be developed from the collected labeled datas…

Projekt zrealizowałem w trakcie studiów w ramach pracy dyplomowej inżynierskiej. Celem projektu było napisanie modułu wykrywającego lokalizację przeszkód i ich wymiarów na podstawie skanu 3D z Lidaru. Dane zostały opublikowane przez organizację Udacity(https://github.com/udacity/didi-competition/blob/master/docs/GettingStarted.md).

Large scale GPU accelerated k-means algorithm

A series of scripts to easily manage tensorflow GPU conda environments

Fundamentals of heterogeneous parallel programming with CUDA C/C++ at the beginner level.

This is a server for vacancies generation using LLM (Saiga3)

Web scraper for extracting data from online newspapers

GPU porgamming CUDA is the repo that has all the list of my materials that I used for the CUDA . I learned CUDA myself and this material helped me get the basic strong .

a python lib for vector with GPU support

Azure Data Engineering and Machine Learning: Helper Functions and Code

Training Higgs Dataset with Keras - https://doi.org/10.5281/zenodo.13133945

This script checks the availability of CUDA-enabled GPUs and prints detailed GPU information for both PyTorch and TensorFlow frameworks. It's a handy utility for ensuring that your deep learning environment is correctly configured to utilize GPU acceleration.