CYaRon: Yet Another Random Olympic-iNformatics test data generator

A system status UI, for your Terminal. Written in Python

A web application that assists patients with reviewing objective quality indicators and subjective reviews together along with making an informed decision about their future care.

DICOM Analytics and Archive

Задания КЕГЭ по информатике 2021 на Python

Interface to data on elements of the periodic table

用户评论爬虫 (Get all reviews of entire history for mobile apps, mac os, windows etc.)

Tổng hợp các đề thi học sinh giỏi tin học của các tỉnh qua các năm

Data capture and experimental interfacing software for chemistry (part 1 of 2)

Python Online Judge for Informatics in school

School homeworks and classworks

Risk Factor Analysis for Medical Data, Open-source Machine Learning Platform

Решения задач авторского курса Д. П. Кириенко

"NIHDataFetcher" is a GitHub repository with scripts for accessing and fetching data from various NIH databases like GEO and PubMed. It provides code examples to retrieve GEO datasets, search PubMed, and load ClinVar data. Ideal for researchers and data scientists working with biomedical information.

🎓(RU) Решения олимпиадных задач с сайта informatics.msk.ru

🏆 This Github repository contains my practice round solutions for the 2022 Innopolis Open Informatics competition. By sharing my solutions, I hope to contribute to the community of aspiring competitors and encourage collaboration and learning among fellow enthusiasts.

This is a repository for different parts of the code that can be useful when creating new projects.

⌚ 🧳 ✈️ A project based in High Performance Computing. This project was built using Apache Spark API, Java and Gradle. The scenario of the project was a Cluster-based implementation of the Prim's Algorithm in a Graph representation of a network of routes between several airports and the average departure delays of that routes. The goal of this pr…

Sources of scripts to retrieve open citations in Informatics

🔎 👨 👩 A project based in Computer Vision, most precisely in Facial Detection and Recognition. This project was built using Python, C++ (C Plus Plus) and OpenCV (Open Source Computer Vision Library). The project will contain some basic exercises and tutorials, offered by OpenCV (Open Source Computer Vision Library) Documentation.