ML-Quadrat (ML2) is a Model-Driven Software Engineering (MDSE) tool with full code generation and out-of-the-box Machine Learning (ML) support at the modeling layer for creating smart services for the Internet of Things (IoT) and Cyber-Physical Systems (CPS).

Сервис каталогов LDAP v3. Предоставляет высокую производительность (десятки тысяч запросов в секунду), доступность и масштабируемость для безопасного хранения цифровых учетных данных, организационно штатной структуры организаций и данных приложений.

This repository contains AI ML projects. It demonstrates examples of applying machine learning techniques to solve real-world problems. Key objectives of this projects are Accurate Predictions, User-Friendly Interface, Data Exploration and Visualization, Model Selection, Feature Engineering, Model Evaluation & Deployment.

This tool facilitates communication-oriented modeling of system of systems. It loosely resembles UML and is built from UML using a profile and custom constraints.

A guideline of SiriusWeb for people who are new to DSML and Sirius.

Reinforcement Learning: How to Train an RL Agent from Scratch

A tool to specify energy-aware self-adaptive location-sensing strategies

DSML 4 Kidz Reachability Server

🔖 Reference list of Papyrus DSML and extensions

DSML For Non-Expert Meta Model

Modernizing Domain-Specific Languages with XMLText and IntellEdit

🎓 📚 The Library Training Material (Incoming Eclipse Papyrus Photon Year 2018-2019)