CYaRon: Yet Another Random Olympic-iNformatics test data generator

High-Performance Data Generator for competitive programming (Olympiad in Informatics) use.

Materiale pentru Facultatea de Matematică și Informatică, specializarea Informatică (2018 - 2021). Resources for Faculty of Mathematics and Computer Science, University of Bucharest (2018 - 2021)

中文图书数据集/数据挖掘/自然语言处理/中国图书分类法/图书情报学/数据挖掘/文本分类/

IT терминдер бойынша Ағылшын-Қазақ сөздігі

Deep Learning for Natural Language Processing Reading Group | University of British Columbia (UBC)

Programming Solutions for OJs and Algorithms

A LaTeX Class for Informatics theses at The University of Edinburgh

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

Introduction to Applied Mathematics and Informatics in Drug Discovery (AMIDD)

Solutions of some problems in competitive programming

(current) A NGS analysis framework for WGS data, which automates the entire process of spinning up AWS EC2 spot instances and processing FASTQ to snvVCF in <60m, for dollars a sample and achieving Fscores of 0.998.

Community-maintained list of resources that the CI4CC organization and the larger cancer informatics community have found useful or are developing.

Informatics Analytic Architecture—A dynamic semantic architecture for the analysis of models, logic, and language.

Some examples druing the OOP (objective oriented programming) courses given by me (Ivan Filipov) as a teaching assistant @ Faculty of Mathematics and Informatics, Sofia University 2015-2018

🧠 Algorithms and Data structures

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

Documentation for Solor Knowledge Architecture and Knowledge Management Environment

A JavaScript module for searching music scores.

( Software Engineer, Back-End developer (.NET, .NET CORE))

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.

🧠 💡 📈 A project based in High Performance Computing. This project was built using CUDA (Compute Unified Device Architecture), C++ (C Plus Plus), C, CMake and JetBrains CLion. The scenario of the project was a GPU-based implementation of the Self-Organising-Maps (S.O.M.) algorithm for Artificial Neural Networks (A.N.N.), with the support of CUDA (Compute Unified Device Architecture), using its offered parallel optimisations and tunings. The final goal of the project was to test the several GPU-based implementations of the algorithm against a given CPU-based implementation of the same algorithm and, evaluate and compare the overall performance (speedup, efficiency and cost).

DICOM Analytics and Archive

Vorlesung Analysis für Informatiker WS16/17 an der TUM

Задания КЕГЭ по информатике 2021 на Python

No description provided.

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

Repository catatan belajar joko ardiyanto selama belajar bahasa pemrograman Golang. Setiap pembelajaran yang dilakukan selalu di update di repository ini.

Interface to data on elements of the periodic table

boolean expression manipulator for educational purposes