Common OCR using neural networks

Using CUDA to add vectors

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

RApid DEployment Kit for quickly building an MV/DL environment on top of Ubuntu

CUDA Version Selector For Ubuntu.

Azure Data Engineering and Machine Learning: Helper Functions and Code

Repository for some basic codes which I will upload in my way of learning CUDA C/C++

Intro to GPU Computing

CUDA setup test

A fast and scalable CUDA implementation to conduct highly parallelized evolutionary tests on large scale genomic data.

Dockerfile for building NVIDIA CUDA image for PyTorch 1.0 and fastai 1.0 deep learning

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

This CMake-based project contains some wrappers around the CUDA functions I use frequently. The wrappers are mainly concerned with throwing an exception with meaningful error messages in case of errors or ensuring that the GPU is always shut down properly and all alocated ressources are released. Some utility functions are also available.

Web scraper for extracting data from online newspapers

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

A tutorial about how to install CUDA Toolkit and code with your GPU.

A series of scripts to easily manage tensorflow GPU conda environments

🧮 A deep learning object detection model built using SSD ResNet101 V1 FPN 640x640 🤖 in conjunction with TensorFlow object detection API. Trained on a custom dataset (300+ images) for 10 different labels, the model detects tile colors on Rubik's cube face with 98-100% accuracy 🎯 and only 0.2 total loss.